{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "18f49ff6-0eac-40a9-9d63-cddb2c889090",
   "metadata": {},
   "source": [
    "# 导入所需数据集，导入工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "08462ac3-6b3c-4cc5-ac29-f261a3c3e247",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False  # 解决图像中的“-”负号的乱码问题\n",
    "plt.rcParams['font.family'] = ['Microsoft YaHei']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c50eae9c-7599-4fa9-b578-e2556f2a6c9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"./data/NGSIM_101.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cbf61786-7608-4e72-ac75-0326fec1a839",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vehicle_ID</th>\n",
       "      <th>Frame_ID</th>\n",
       "      <th>Total_Frames</th>\n",
       "      <th>Global_Time</th>\n",
       "      <th>Local_X</th>\n",
       "      <th>Local_Y</th>\n",
       "      <th>Global_X</th>\n",
       "      <th>Global_Y</th>\n",
       "      <th>v_Length</th>\n",
       "      <th>v_Width</th>\n",
       "      <th>v_Class</th>\n",
       "      <th>v_Vel</th>\n",
       "      <th>v_Acc</th>\n",
       "      <th>Lane_ID</th>\n",
       "      <th>Preceeding</th>\n",
       "      <th>Following</th>\n",
       "      <th>Space_Hdwy</th>\n",
       "      <th>Time_Hdwy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869000</td>\n",
       "      <td>51.164</td>\n",
       "      <td>112.878</td>\n",
       "      <td>6451136.708</td>\n",
       "      <td>1873294.084</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>271</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869100</td>\n",
       "      <td>51.153</td>\n",
       "      <td>114.878</td>\n",
       "      <td>6451138.053</td>\n",
       "      <td>1873292.603</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869200</td>\n",
       "      <td>51.143</td>\n",
       "      <td>116.878</td>\n",
       "      <td>6451139.397</td>\n",
       "      <td>1873291.122</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869300</td>\n",
       "      <td>51.244</td>\n",
       "      <td>118.815</td>\n",
       "      <td>6451140.617</td>\n",
       "      <td>1873289.614</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>274</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869400</td>\n",
       "      <td>51.234</td>\n",
       "      <td>120.814</td>\n",
       "      <td>6451141.961</td>\n",
       "      <td>1873288.133</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>1.07</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>1914</td>\n",
       "      <td>7369</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848578900</td>\n",
       "      <td>6.751</td>\n",
       "      <td>949.584</td>\n",
       "      <td>6451781.160</td>\n",
       "      <td>1872752.182</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.89</td>\n",
       "      <td>0.31</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>35.13</td>\n",
       "      <td>2.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>1914</td>\n",
       "      <td>7370</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579000</td>\n",
       "      <td>6.763</td>\n",
       "      <td>951.072</td>\n",
       "      <td>6451782.284</td>\n",
       "      <td>1872751.189</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.93</td>\n",
       "      <td>0.64</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.97</td>\n",
       "      <td>2.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>1914</td>\n",
       "      <td>7371</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579100</td>\n",
       "      <td>6.777</td>\n",
       "      <td>952.570</td>\n",
       "      <td>6451783.407</td>\n",
       "      <td>1872750.195</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.98</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.82</td>\n",
       "      <td>2.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>1914</td>\n",
       "      <td>7372</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579200</td>\n",
       "      <td>6.789</td>\n",
       "      <td>954.072</td>\n",
       "      <td>6451784.531</td>\n",
       "      <td>1872749.202</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>15.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.66</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>1914</td>\n",
       "      <td>7373</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579300</td>\n",
       "      <td>6.801</td>\n",
       "      <td>955.572</td>\n",
       "      <td>6451785.655</td>\n",
       "      <td>1872748.209</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>15.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.49</td>\n",
       "      <td>2.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Vehicle_ID  Frame_ID  Total_Frames    Global_Time  Local_X  Local_Y  \\\n",
       "0                 1       270           569  1118847869000   51.164  112.878   \n",
       "1                 1       271           569  1118847869100   51.153  114.878   \n",
       "2                 1       272           569  1118847869200   51.143  116.878   \n",
       "3                 1       273           569  1118847869300   51.244  118.815   \n",
       "4                 1       274           569  1118847869400   51.234  120.814   \n",
       "...             ...       ...           ...            ...      ...      ...   \n",
       "1048570        1914      7369           923  1118848578900    6.751  949.584   \n",
       "1048571        1914      7370           923  1118848579000    6.763  951.072   \n",
       "1048572        1914      7371           923  1118848579100    6.777  952.570   \n",
       "1048573        1914      7372           923  1118848579200    6.789  954.072   \n",
       "1048574        1914      7373           923  1118848579300    6.801  955.572   \n",
       "\n",
       "            Global_X     Global_Y  v_Length  v_Width  v_Class  v_Vel  v_Acc  \\\n",
       "0        6451136.708  1873294.084      47.0      8.5        3  19.89   0.00   \n",
       "1        6451138.053  1873292.603      47.0      8.5        3  19.89   0.00   \n",
       "2        6451139.397  1873291.122      47.0      8.5        3  19.89   0.00   \n",
       "3        6451140.617  1873289.614      47.0      8.5        3  19.89   0.00   \n",
       "4        6451141.961  1873288.133      47.0      8.5        3  19.89   1.07   \n",
       "...              ...          ...       ...      ...      ...    ...    ...   \n",
       "1048570  6451781.160  1872752.182      16.5      6.4        2  14.89   0.31   \n",
       "1048571  6451782.284  1872751.189      16.5      6.4        2  14.93   0.64   \n",
       "1048572  6451783.407  1872750.195      16.5      6.4        2  14.98   0.34   \n",
       "1048573  6451784.531  1872749.202      16.5      6.4        2  15.00   0.00   \n",
       "1048574  6451785.655  1872748.209      16.5      6.4        2  15.00   0.00   \n",
       "\n",
       "         Lane_ID  Preceeding  Following  Space_Hdwy  Time_Hdwy  \n",
       "0              5           0          0        0.00       0.00  \n",
       "1              5           0          0        0.00       0.00  \n",
       "2              5           0          0        0.00       0.00  \n",
       "3              5           0          0        0.00       0.00  \n",
       "4              5           0          0        0.00       0.00  \n",
       "...          ...         ...        ...         ...        ...  \n",
       "1048570        1        1909       1917       35.13       2.36  \n",
       "1048571        1        1909       1917       34.97       2.34  \n",
       "1048572        1        1909       1917       34.82       2.32  \n",
       "1048573        1        1909       1917       34.66       2.31  \n",
       "1048574        1        1909       1917       34.49       2.30  \n",
       "\n",
       "[1048575 rows x 18 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b36ea4a8-acf9-4bc0-9b42-9da5a7b91b84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Vehicle_ID</th>\n",
       "      <th>Frame_ID</th>\n",
       "      <th>Total_Frames</th>\n",
       "      <th>Global_Time</th>\n",
       "      <th>Local_X</th>\n",
       "      <th>Local_Y</th>\n",
       "      <th>Global_X</th>\n",
       "      <th>Global_Y</th>\n",
       "      <th>v_Length</th>\n",
       "      <th>...</th>\n",
       "      <th>Preceeding</th>\n",
       "      <th>Following</th>\n",
       "      <th>Space_Hdwy</th>\n",
       "      <th>Time_Hdwy</th>\n",
       "      <th>p_Local_X</th>\n",
       "      <th>p_Local_Y</th>\n",
       "      <th>p_v_Vel</th>\n",
       "      <th>p_v_Acc</th>\n",
       "      <th>p_Space_Hdwy</th>\n",
       "      <th>p_Time_Hdwy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869000</td>\n",
       "      <td>51.164</td>\n",
       "      <td>112.878</td>\n",
       "      <td>6451136.708</td>\n",
       "      <td>1873294.084</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.164000</td>\n",
       "      <td>112.878000</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>271</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869100</td>\n",
       "      <td>51.153</td>\n",
       "      <td>114.878</td>\n",
       "      <td>6451138.053</td>\n",
       "      <td>1873292.603</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.153322</td>\n",
       "      <td>114.878000</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869200</td>\n",
       "      <td>51.143</td>\n",
       "      <td>116.878</td>\n",
       "      <td>6451139.397</td>\n",
       "      <td>1873291.122</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.186204</td>\n",
       "      <td>116.853399</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.196990</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869300</td>\n",
       "      <td>51.244</td>\n",
       "      <td>118.815</td>\n",
       "      <td>6451140.617</td>\n",
       "      <td>1873289.614</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.198690</td>\n",
       "      <td>118.840344</td>\n",
       "      <td>19.914792</td>\n",
       "      <td>0.246158</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>274</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869400</td>\n",
       "      <td>51.234</td>\n",
       "      <td>120.814</td>\n",
       "      <td>6451141.961</td>\n",
       "      <td>1873288.133</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.200391</td>\n",
       "      <td>120.838802</td>\n",
       "      <td>19.843820</td>\n",
       "      <td>-0.927490</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>1048570</td>\n",
       "      <td>1914</td>\n",
       "      <td>7369</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848578900</td>\n",
       "      <td>6.751</td>\n",
       "      <td>949.584</td>\n",
       "      <td>6451781.160</td>\n",
       "      <td>1872752.182</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>35.13</td>\n",
       "      <td>2.36</td>\n",
       "      <td>6.757744</td>\n",
       "      <td>949.589384</td>\n",
       "      <td>14.950289</td>\n",
       "      <td>0.012011</td>\n",
       "      <td>35.249194</td>\n",
       "      <td>2.356406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>1048571</td>\n",
       "      <td>1914</td>\n",
       "      <td>7370</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579000</td>\n",
       "      <td>6.763</td>\n",
       "      <td>951.072</td>\n",
       "      <td>6451782.284</td>\n",
       "      <td>1872751.189</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.97</td>\n",
       "      <td>2.34</td>\n",
       "      <td>6.765620</td>\n",
       "      <td>951.082391</td>\n",
       "      <td>14.944416</td>\n",
       "      <td>0.081872</td>\n",
       "      <td>34.994543</td>\n",
       "      <td>2.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>1048572</td>\n",
       "      <td>1914</td>\n",
       "      <td>7371</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579100</td>\n",
       "      <td>6.777</td>\n",
       "      <td>952.570</td>\n",
       "      <td>6451783.407</td>\n",
       "      <td>1872750.195</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.82</td>\n",
       "      <td>2.32</td>\n",
       "      <td>6.776225</td>\n",
       "      <td>952.573760</td>\n",
       "      <td>14.961009</td>\n",
       "      <td>0.263743</td>\n",
       "      <td>34.814283</td>\n",
       "      <td>2.325717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>1048573</td>\n",
       "      <td>1914</td>\n",
       "      <td>7372</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579200</td>\n",
       "      <td>6.789</td>\n",
       "      <td>954.072</td>\n",
       "      <td>6451784.531</td>\n",
       "      <td>1872749.202</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.66</td>\n",
       "      <td>2.31</td>\n",
       "      <td>6.789000</td>\n",
       "      <td>954.071356</td>\n",
       "      <td>14.993559</td>\n",
       "      <td>0.109495</td>\n",
       "      <td>34.656780</td>\n",
       "      <td>2.310000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>1048574</td>\n",
       "      <td>1914</td>\n",
       "      <td>7373</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579300</td>\n",
       "      <td>6.801</td>\n",
       "      <td>955.572</td>\n",
       "      <td>6451785.655</td>\n",
       "      <td>1872748.209</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.49</td>\n",
       "      <td>2.30</td>\n",
       "      <td>6.801000</td>\n",
       "      <td>955.572000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>34.490000</td>\n",
       "      <td>2.300000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0  Vehicle_ID  Frame_ID  Total_Frames    Global_Time  \\\n",
       "0                 0           1       270           569  1118847869000   \n",
       "1                 1           1       271           569  1118847869100   \n",
       "2                 2           1       272           569  1118847869200   \n",
       "3                 3           1       273           569  1118847869300   \n",
       "4                 4           1       274           569  1118847869400   \n",
       "...             ...         ...       ...           ...            ...   \n",
       "1048570     1048570        1914      7369           923  1118848578900   \n",
       "1048571     1048571        1914      7370           923  1118848579000   \n",
       "1048572     1048572        1914      7371           923  1118848579100   \n",
       "1048573     1048573        1914      7372           923  1118848579200   \n",
       "1048574     1048574        1914      7373           923  1118848579300   \n",
       "\n",
       "         Local_X  Local_Y     Global_X     Global_Y  v_Length  ...  \\\n",
       "0         51.164  112.878  6451136.708  1873294.084      47.0  ...   \n",
       "1         51.153  114.878  6451138.053  1873292.603      47.0  ...   \n",
       "2         51.143  116.878  6451139.397  1873291.122      47.0  ...   \n",
       "3         51.244  118.815  6451140.617  1873289.614      47.0  ...   \n",
       "4         51.234  120.814  6451141.961  1873288.133      47.0  ...   \n",
       "...          ...      ...          ...          ...       ...  ...   \n",
       "1048570    6.751  949.584  6451781.160  1872752.182      16.5  ...   \n",
       "1048571    6.763  951.072  6451782.284  1872751.189      16.5  ...   \n",
       "1048572    6.777  952.570  6451783.407  1872750.195      16.5  ...   \n",
       "1048573    6.789  954.072  6451784.531  1872749.202      16.5  ...   \n",
       "1048574    6.801  955.572  6451785.655  1872748.209      16.5  ...   \n",
       "\n",
       "         Preceeding  Following  Space_Hdwy  Time_Hdwy  p_Local_X   p_Local_Y  \\\n",
       "0                 0          0        0.00       0.00  51.164000  112.878000   \n",
       "1                 0          0        0.00       0.00  51.153322  114.878000   \n",
       "2                 0          0        0.00       0.00  51.186204  116.853399   \n",
       "3                 0          0        0.00       0.00  51.198690  118.840344   \n",
       "4                 0          0        0.00       0.00  51.200391  120.838802   \n",
       "...             ...        ...         ...        ...        ...         ...   \n",
       "1048570        1909       1917       35.13       2.36   6.757744  949.589384   \n",
       "1048571        1909       1917       34.97       2.34   6.765620  951.082391   \n",
       "1048572        1909       1917       34.82       2.32   6.776225  952.573760   \n",
       "1048573        1909       1917       34.66       2.31   6.789000  954.071356   \n",
       "1048574        1909       1917       34.49       2.30   6.801000  955.572000   \n",
       "\n",
       "           p_v_Vel   p_v_Acc  p_Space_Hdwy  p_Time_Hdwy  \n",
       "0        19.890000  0.000000      0.000000     0.000000  \n",
       "1        19.890000  0.000000      0.000000     0.000000  \n",
       "2        19.890000  0.196990      0.000000     0.000000  \n",
       "3        19.914792  0.246158      0.000000     0.000000  \n",
       "4        19.843820 -0.927490      0.000000     0.000000  \n",
       "...            ...       ...           ...          ...  \n",
       "1048570  14.950289  0.012011     35.249194     2.356406  \n",
       "1048571  14.944416  0.081872     34.994543     2.340000  \n",
       "1048572  14.961009  0.263743     34.814283     2.325717  \n",
       "1048573  14.993559  0.109495     34.656780     2.310000  \n",
       "1048574  15.000000  0.000000     34.490000     2.300000  \n",
       "\n",
       "[1048575 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_processed = pd.read_csv(\"./data/NGSIM_101_Processed.csv\")\n",
    "data_processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bf0f837f-f008-4186-b79d-8915301e1013",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vehicle_ID</th>\n",
       "      <th>Frame_ID</th>\n",
       "      <th>Total_Frames</th>\n",
       "      <th>Global_Time</th>\n",
       "      <th>Local_X</th>\n",
       "      <th>Local_Y</th>\n",
       "      <th>Global_X</th>\n",
       "      <th>Global_Y</th>\n",
       "      <th>v_Length</th>\n",
       "      <th>v_Width</th>\n",
       "      <th>v_Class</th>\n",
       "      <th>v_Vel</th>\n",
       "      <th>v_Acc</th>\n",
       "      <th>Lane_ID</th>\n",
       "      <th>Preceeding</th>\n",
       "      <th>Following</th>\n",
       "      <th>Space_Hdwy</th>\n",
       "      <th>Time_Hdwy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>158772</th>\n",
       "      <td>300</td>\n",
       "      <td>1524</td>\n",
       "      <td>478</td>\n",
       "      <td>1118847994400</td>\n",
       "      <td>40.066</td>\n",
       "      <td>81.348</td>\n",
       "      <td>6451123.891</td>\n",
       "      <td>1873324.955</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>36.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>47.34</td>\n",
       "      <td>1.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158773</th>\n",
       "      <td>300</td>\n",
       "      <td>1525</td>\n",
       "      <td>478</td>\n",
       "      <td>1118847994500</td>\n",
       "      <td>40.047</td>\n",
       "      <td>84.848</td>\n",
       "      <td>6451126.244</td>\n",
       "      <td>1873322.364</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>36.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>47.23</td>\n",
       "      <td>1.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158774</th>\n",
       "      <td>300</td>\n",
       "      <td>1526</td>\n",
       "      <td>478</td>\n",
       "      <td>1118847994600</td>\n",
       "      <td>40.027</td>\n",
       "      <td>88.848</td>\n",
       "      <td>6451128.932</td>\n",
       "      <td>1873319.402</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>36.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>46.56</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158775</th>\n",
       "      <td>300</td>\n",
       "      <td>1527</td>\n",
       "      <td>478</td>\n",
       "      <td>1118847994700</td>\n",
       "      <td>40.009</td>\n",
       "      <td>92.348</td>\n",
       "      <td>6451131.285</td>\n",
       "      <td>1873316.811</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>36.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>46.46</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158776</th>\n",
       "      <td>300</td>\n",
       "      <td>1528</td>\n",
       "      <td>478</td>\n",
       "      <td>1118847994800</td>\n",
       "      <td>39.992</td>\n",
       "      <td>95.848</td>\n",
       "      <td>6451133.637</td>\n",
       "      <td>1873314.219</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>36.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>46.52</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159245</th>\n",
       "      <td>300</td>\n",
       "      <td>1997</td>\n",
       "      <td>478</td>\n",
       "      <td>1118848041700</td>\n",
       "      <td>52.222</td>\n",
       "      <td>2149.891</td>\n",
       "      <td>6452661.266</td>\n",
       "      <td>1871931.809</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>35.07</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159246</th>\n",
       "      <td>300</td>\n",
       "      <td>1998</td>\n",
       "      <td>478</td>\n",
       "      <td>1118848041800</td>\n",
       "      <td>52.219</td>\n",
       "      <td>2153.393</td>\n",
       "      <td>6452664.005</td>\n",
       "      <td>1871929.629</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>35.02</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159247</th>\n",
       "      <td>300</td>\n",
       "      <td>1999</td>\n",
       "      <td>478</td>\n",
       "      <td>1118848041900</td>\n",
       "      <td>52.217</td>\n",
       "      <td>2156.891</td>\n",
       "      <td>6452666.743</td>\n",
       "      <td>1871927.450</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>35.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159248</th>\n",
       "      <td>300</td>\n",
       "      <td>2000</td>\n",
       "      <td>478</td>\n",
       "      <td>1118848042000</td>\n",
       "      <td>52.214</td>\n",
       "      <td>2160.391</td>\n",
       "      <td>6452669.482</td>\n",
       "      <td>1871925.270</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>35.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159249</th>\n",
       "      <td>300</td>\n",
       "      <td>2001</td>\n",
       "      <td>478</td>\n",
       "      <td>1118848042100</td>\n",
       "      <td>52.211</td>\n",
       "      <td>2163.891</td>\n",
       "      <td>6452672.221</td>\n",
       "      <td>1871923.091</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>35.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>478 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Vehicle_ID  Frame_ID  Total_Frames    Global_Time  Local_X   Local_Y  \\\n",
       "158772         300      1524           478  1118847994400   40.066    81.348   \n",
       "158773         300      1525           478  1118847994500   40.047    84.848   \n",
       "158774         300      1526           478  1118847994600   40.027    88.848   \n",
       "158775         300      1527           478  1118847994700   40.009    92.348   \n",
       "158776         300      1528           478  1118847994800   39.992    95.848   \n",
       "...            ...       ...           ...            ...      ...       ...   \n",
       "159245         300      1997           478  1118848041700   52.222  2149.891   \n",
       "159246         300      1998           478  1118848041800   52.219  2153.393   \n",
       "159247         300      1999           478  1118848041900   52.217  2156.891   \n",
       "159248         300      2000           478  1118848042000   52.214  2160.391   \n",
       "159249         300      2001           478  1118848042100   52.211  2163.891   \n",
       "\n",
       "           Global_X     Global_Y  v_Length  v_Width  v_Class  v_Vel  v_Acc  \\\n",
       "158772  6451123.891  1873324.955      16.5      6.4        2  36.66   0.00   \n",
       "158773  6451126.244  1873322.364      16.5      6.4        2  36.66   0.00   \n",
       "158774  6451128.932  1873319.402      16.5      6.4        2  36.66   0.00   \n",
       "158775  6451131.285  1873316.811      16.5      6.4        2  36.66   0.00   \n",
       "158776  6451133.637  1873314.219      16.5      6.4        2  36.66   0.00   \n",
       "...             ...          ...       ...      ...      ...    ...    ...   \n",
       "159245  6452661.266  1871931.809      16.5      6.4        2  35.07  -0.61   \n",
       "159246  6452664.005  1871929.629      16.5      6.4        2  35.02  -0.32   \n",
       "159247  6452666.743  1871927.450      16.5      6.4        2  35.02   0.00   \n",
       "159248  6452669.482  1871925.270      16.5      6.4        2  35.02   0.00   \n",
       "159249  6452672.221  1871923.091      16.5      6.4        2  35.02   0.00   \n",
       "\n",
       "        Lane_ID  Preceeding  Following  Space_Hdwy  Time_Hdwy  \n",
       "158772        4         298          0       47.34       1.29  \n",
       "158773        4         298          0       47.23       1.29  \n",
       "158774        4         298          0       46.56       1.27  \n",
       "158775        4         298          0       46.46       1.27  \n",
       "158776        4         298          0       46.52       1.27  \n",
       "...         ...         ...        ...         ...        ...  \n",
       "159245        5           0        303        0.00       0.00  \n",
       "159246        5           0        303        0.00       0.00  \n",
       "159247        5           0        303        0.00       0.00  \n",
       "159248        5           0        303        0.00       0.00  \n",
       "159249        5           0        303        0.00       0.00  \n",
       "\n",
       "[478 rows x 18 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Vehicle_ID'] == 300]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e6d8c52-766b-4c54-858c-f8f621ad2382",
   "metadata": {},
   "source": [
    "# 数据误差分析\n",
    "## 位置误差分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0a639028-3e2a-4323-baa5-4394e4dc73ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1EAAAHECAYAAADYsaBzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAACQnElEQVR4nO3dd3hb5dk/8O/RtmzJeyZ2HGeRkB2SsMoohbIp0BIKlFHaQikdUNr3pdDSQik/xlugdJfRlt0CXSmFskOAkBATsqcz7HhveWif3x9nyI5lW+NIOpK+n+vyBZFk+Umi2Pqe+37uRxBFUQQRERERERFFxJDqBRAREREREaUThigiIiIiIqIoMEQRERERERFFgSGKiIiIiIgoCgxRREREREREUWCIIiIiIiIiigJDFBERERERURQYooiIiIiIiKJgSvUCkiEYDKK5uRkOhwOCIKR6OURERERElCKiKMLlcqGqqgoGQ2w1pawIUc3Nzaiurk71MoiIiIiISCcaGxsxderUmD43K0KUw+EAIP1BOZ3OFK+GiIiIiIhSpb+/H9XV1WpGiIWuQtSWLVtw9dVX4+GHH8aJJ56o3u7z+fCzn/0Mjz/+OFpbW1FTU4MNGzagoKAgoudVWvicTidDFBERERERxbXNRxchqr6+Hvfeey/+9a9/YXh4eMz911xzDdatW4eHH34YM2fOxLZt22Ay6WLpRERERESUZXSRRF566SVYLBasXr0ap5122qj7XnvtNTz//PPYuXMnZsyYAQCYP39+KpZJRERERESkjxB11113QRAEHDhwYMx9TzzxBC688EI1QBEREREREaWSLs6Jmqgfcd26dZg9ezauuuoqFBcXY/78+XjqqacmfD6Px4P+/v5RH0RERERERFrQRYiaSEtLC/74xz9i4cKFePXVV3HBBRfgS1/6Et5+++1xP+eee+5Bfn6++sHx5kREREREpBXdhyi/348zzjgD3/3ud3HMMcfg7rvvxjHHHIM///nP437Orbfeir6+PvWjsbExiSsmIiIiIqJMpos9URMpKyvDzJkzR902e/ZstLW1jfs5VqsVVqs10UsjIiIiIqIspPtK1PHHH49169aNum379u2YPXt2ilZERERERETZTPeVqJtuugknn3wy7r77bpx99tl4+umnsXPnTrzwwgupXhoREREREWWhtKhEPffcc/jzn/+MY489Fm+88QZWr17NkedERERERJQSgiiKYqoXkWj9/f3Iz89HX18fnE5nqpdDREREREQpokU20H0lioiIiIiISE8YooiIiIiIiKLAEEVERLr06rZWXP7oOry1sz3VSyEiIhqFIYqIiHTpj+8dwHt7u3DNHzfgwdd2p3o5REREKoYoIiLSpYNdg+r/P7XuYApXQkRENBpDFBER6Y4oiuga9Kq/7hr0YtDjT+GKiIiIQhiiiIhId3qGfPD4gwAAu8UIAGjsGUrlkoiIiFQMUUREpDvNvcMAgJI8C2aU5gEAGruHU7kkIiIiFUMUERHpTmufGwBQmZ+DmiI7AOBQNytRRESkDwxRRESkOy19UtWpIt+GqUU5AIBGhigiItIJhigiItKdFrkSVZVvUytRDFFERKQXDFFERKQ7SoiqYDsfpamGjgHUH+pJ9TKIKEEYooiISHeUdr6qAhuqC+VKVM8QRFFM5bKIIvLe3k6c/Yt38YXffoB9HQOpXg4RJQBDFBER6U7LiMESVQU5MAiA2xdEx4AnxSsjmtjO1n58+Y8b4PYFEQiKeHFjU6qXREQJwBBFRES6IoriiBBlg8VkQGW+MlyCY85J317e3AKPP4iSPAsA4G8fH0YgyAoqUaZhiCIiIl3pHvTCKx+0W+60AQCmFkohqokH7pLObW/pBwB87aQ6OG0mtPS58cG+rhSvioi0xhBFRES60tYvteyV5FlgMUk/pqYUSCGqudedsnURRWJbsxSiltQU4rxFVQCAl7e2pHJJRJQADFFERKQrvcNeAECB3aLeVqWGKLbzkX51D3rVVtSjKhxYMb0IALC3jcMliDINQxQREelK35APAFCQY1ZvqyyQ2vqUqX1EerRdrkLVFtvhsJkxvSQXANDQOZjKZRFRAjBEERGRrvQNSyEqf0SIqspnOx/p3/aWPgDAvConAKBWDlGdAx70u32af73NTb14+sODHP1PlAKmVC+AiIhopLAhSmnnYyWKdEypRM2rlEKU02ZGSZ4VnQMeHOgcxMKpBZp+vVv++gl2tw2gNM+KM46u0PS5iWhirEQREZGu9Cohyj62na93yIchrz8l6yKajDKZ7+iqfPW2OrkatV/jlj63L4C97dJeq1e2tWr63EQ0OYYoIiLSlXCVKKfNjDyr1DzBlj7SI1EUcahbGsGv7IUa+f8NHdqGqL3tA1COn3pjRzv8gaCmz09EE2OIIiIiXQk3WAIAqjhcgnSsb9gHt08KMhX5NvX26aVSiDrQpW2I2tPuGvW11x/o1vT5iWhiDFFERKQrfWHa+QCgUh4u0cJKFOmQMtq8KNcCm9mo3j49Qe18u48Ym/7fbW2aPj8RTYwhioiIdCVcOx8QqkQd5llRpEOt/VKIqnDaRt2u7onqGNR0it7uVqkStaJWOotqc1OvZs9NRJNjiCIiIl1RDtvNz7GMul0Zc852PtKjVrkSVZk/OkTVFNshCIDL40fXoFezr7dbbuc7bW4ZgFAljIiSgyGKiIh0RdkTdWQlqrKAZ0WRfikhpvyIEGU1GVGcK10QaO/3aPK1hrx+NHZLFxNOnlMKAGjrd3O4BFES8ZwoIqI01NrnxrqGLnj8AXx+WTWMBiHVS9JEICjC5ZFGmB8ZoqYWSiFK6w36mcDrD+L5DYfQNejFjNI8nLeoKtVLyjqtcoW08oh2PgDyWVFetLvcmAdn3F9rj7wfqiTPgtllDpiNAnwBEe0uj3qmGhElFkMUEVEaaegYwEOv78G/NjdD2V7xwb4uPPCFRTAZ07+5wOX2qb+vI0PU3ArpzWdTzzD63T44beYjPz1rvbqtFT/8xzb110dXOVFXmpfCFWWfVrnKVJE/NkSVOW3Y2epCh0ubSlRTjxTYaotzYTAIKHfa0NQzjJa+YYYooiRJ/5+4RERZIBgU8eBru/HZh9bgn59IAWr+FCdMBgF/39SMe1/ZmeolakIZKmG3GGExjf4RlW83o0p+g7qzxTXmc7OZcj6RorGH+8aSTa1E5Y8NMaV5VgBAx4A2IapnSNpbVSi3CSr7sNjqSpQ8DFFERGngpY8P4+E39sAXEHHKnFL8+1snYvU3P4X/u2QRAODZ9Y0Y9gZSvMr49Y6zH0oxr0qqRm1v7kvamtLBkRUOrSoeFDllT1S4SlSpQw5RGv299CohSj4GoJJDV4iSjiGKiEjnfIEgfvHGHgDAt06bhSeuXo6jq/IBAOctrEJ1UQ4GPH78d3trKpepifHGmyvmVkohagcrUaMcWeFgiEquQY8fLre0l2+iENWu0d9Lj3yxodAuV6IKWIkiSjaGKCIinXupvgmHuodQkmfB9SfXQRBCQyQMBgEXLZkKAHhhY1OqlqiZiENUa3/S1pQOOuT9OMrwDYao5FLOiHJYTcizjt1uXqZ5JUr6d1IghyiO/ydKPoYoIiKde25DIwDgupNmwG4Z+wbt4qVSiHpvbyfa+tP7SnTvsPLmcJx2PjlE7Wx1cZzzCEolSvnz0WrvDUWmdYJWPiBUierUuJ2vQG3nk74uz4oiSh6GKCIiHRv2BrD1sLT/58z5FWEfU1Nsx6Kp+QiKUpBKZ/2TVKJqiuzItRjh9QfR0MlR5wqlwqHsGetw8c10MjX3ShWgyUKUVpWoniP2RCkT+RiiiJKHIYqISMc+aeqFLyCi3GlVW7XCObauGADwYUN3spamane58f6+TrjcvjH3tfW78faudhzqGoKozC6fgHKFfbwQZTAIWFxTAAD43TsNsS9aIz2DXryxow2Prd2Ppz88iAH5jKtkGvL61a+r7JVjO19yKdMQpxbaw96vtPO5PH5NBsAc2c6nVKI6Bzzw+lmhJUoGnhNFRKRjGw/2AACOqS0atRfqSCvrivC7NQ34cH9XspYGAOh3+3Dhr97H4d5hCAJgGXFWlQiMekO3orYIf/ryCuRYjOM+X9/w6DeH4dx8+hy8v+99vFjfBJfbhwNdg2judcOXgvY+zxFvWO9/dRfu//winD6vPGlr6HRJwTPHbERtsfQmvnPAm7Svr3eiKOKVra347Tv70DXoxeLqAuRZTegd8uFw7zAO9w5jMMLwW5xrwdNfPRbTS3JH3d4kj5ivLgp/oSPPaoLNbIDbF0SHy4Oa4vBhK1JK26syWKIo1wKryQCPP4i2fjeqi+J7fiKaHEMUEZGObTggVZaOmVY44eOOqS2CQQAOdA2hrd+Ncmf4tiKt/XT1dhzuHYbZKMAXEMeECoMgHQh6qHsI6w9043dr9uE7n5k97vMpV9id41SiAGDZtEJcvrIGT607hP9ub9PmNxKHGaW5mFPhwM5WFxo6BvE/L27GsXWnwJGkw4Db5da9UocVZQ7p771v2AePPwCrafzAmi1erD+MW/76ifrrpjjO0Gruc+NXb+3FA19YNOr2xh45RI1TiRIEAaUOKxq7h9Ex4I4rRAWD4pgR54IgoCLfhoNdQ2jpY4giSgaGKCIinQoGRbUStby2aMLHOm1mzKtyYuvhfqxr6MIFi6ckfH31h3rwl4+aIAjA0185FjNKc+E+IkQ5bSY4bGas3tyMG5/5GL99Zx++cEw1phSEv2Kv7PUozh2/EgUA/3vWXFiMRuTZTFhaU4DqIjts5uQHhlyLUa2a+QJBfPbBNWjoHMQf1jTg5jPmJGUNSuteqcMKZ44JFqMB3kAQnQPecf+cs8kLG6XBLBcvnYoLFldhe0s//IEg8qwmTC20Y0phzoShXbGnzYWrn9iAf2w6jO99ds6oCxWN3VIwmyi8lObJISrOVkuX24+g3BmbP2IAS5nDioNdQ2qoJqLEYogiItKpvR0DcLn9sFuMOKrCMenjV04vxtbD/fhwf3dSQtT78hCLM4+uwIrpE4e8cxZU4snpB/Hh/m489u5+/Oi8eWEf1z2oXGGfOETlWU3jPkeqmI0GfO+zc/D1p+vxh3f349oT60a9yU0UZRJfmcOqVjwO90pv1rM9RPUMerF+v1TN/c5nZqG6yI6TZpfG9FxTCnKwvLYQGw704I/vH8D/nHkUAMDtC6BNDi7VE+xbVKqE8YYo5UKD3WIcVWksk0Ndez/3wxElAwdLEBHp1L72AQDA7HIHTMbJv10r1aqPD/UmclmqLfLUwKU1E7caAlK70VXH1wIA1u7tGPdxyiGiRZNUovTqzPkVqC22Y9gXwKam3qR8zZGVKAAo0XgSXDp7Y2c7gqI0+l2LFrcvnzAdAPDvzS3qbYd7hyGKUqiZ6HWr1YG7R+6HUpRpfKAvEU2MIYqISKcOypvVp0W4f2JRtTSZbXebS5MJYJPZelg68Hb+lPyIHn9cXTEEAdjdNhC25Sgwcq9HbnL2E2lNEAT1z2N7c3IOBFZDVJ511H8ZooBXt7UCAM44WptBH8fPLAEAHOoeQpdcAWzsDu2Hmmj4i1ZjznuOOCNKoVS62M5HlBwMUUREOnVIfnNWE+EV9AqnDWUOKwJBEdua+xK5NPQMenFYPhvn6CnOiD6nMNeCo+VzjD7YN3aKYP+wT93rMVk7n54pZzXtaElyiJLfpGt9JlG6CgZF9dy0z8zVJkTl55hRVypN5vtErjQq483Hm8ynKM6TXtNdg/FNTjzyoF1FGf/eiZKKIYqISKcOdUUXogRBwMKpBQCAT5oSG6KUVr7pJblwRjGF7oQZ0pX8cIcCd8tvDh02E8wRtC/q1dzK5IYopX2rzKlUoqQ36x0D2V2RaO4bxpA3ALNRiGhPYaQWVxcAADbJbbPKePPxzohSFOdKfz9KBStWPYPhjwFQ/v65J4ooOdL3pxQRUYY72D0IAJhWnDvJI0MWyy19nzT2JmJJKiVERdrKp1Daod7b2zXm8N0e+Qp9uu6HUsyTQ9S+jgG4fYlvq+xW/9xG74nqyvKzoho6Qv9+ItlTGKklSoiSL1So480nudhRolUlSt0TFb6dr43tfERJwRBFRKRDvkAQzb3Sm6FIK1EA1ErU5gQPNdiqhKiqyFr5FMtrC2EQoE6PGynSyXx6V+awoijXgqAo7U9LNJdbelPtsJlG/dfljuwA2UzV0CENZqkrifwiRCQWV0uDVD5p7IUoijjYpeyJmridT7k4EG+4DZ0RFX6wRO+QdEYYESUWQxQRkQ419w4jEBRhNRnUN0eRWDhVqgwd6BpS32wlws5WKRxEW4myW0yold/U7joiYCgb5tO9EiUIglqNSnRLnyiKGPBIYclhlUOUVapQKOEqW+2TK1F1pXmaPu+cCgcsJgP6hn34cH83tst/x0dP8m+hWB74MeDxx1WhVCZY5h9xtlWB3QyLXHHjviiixNNViNqyZQuWLVuGtWvXqrft378fgiCM+pg/f34KV0lElHgHR+yHMhjGn/h1pAK7RZ3ml6jpcF5/UB16MbMs+jeoc8ql/Sm7WkeHqO7B8KOb09HcSun3mOgJfUPegDqMwyHvTctTKlGeLK9EdUqVqBml2laiLCYDltYUAAC+98InEEVgSU3BpGdyOW0mmI3Sv+V4WvrGq0QpZ4QBHHNOlAy6CFH19fVYtWoVVq5cifr6+lH3dXV1wWAwYPfu3dizZw/27NmD//znPylaKRFRchyKcrz5SEoVZHuCqiCHugcRCIrItRijqpIp5lSED1GhSlR6jjcfaYZc/VD+HhNFadkzGQTYzNKPdLbzSRoSVIkCgGvk86Iau6XJfOcsqJz0cwRBUIdLdMfR0tczwTEAHC5BlDy6CFEvvfQSLBYLVq9ePea+7u5uFBQUYNasWZg5cyZmzpyJ6urqFKySiCh5lDffsRwQqoaoBFVBRrZJTXQuzniUStSR+4XUPVFp3s4HABX50ib/1gS/mR3wSNW7PJtJ/btQpiVmczvfoMePlj5pT6HWlSgAOH1uOWaXh8LZOQsnD1FAaMx552DsrwtlOp8ySGSk0JhzDpcgSjRTqhcAAHfddRcEQcCBAwfG3Nfd3Y2SkpKons/j8cDjCX2D6u9PzphZIiKtRDvefKS5Ca5E7euIr01qdoUSogYQDIpqu6I6nS8D2vkq86XWrta+4YR+nX652qRUnwAgT94b5fYF4QsE03pcfKz2d0pBvyjXMmYUuBYMBgHf/PQsfPPZj3HCzGL173syyr6oeIZLdMkBLNy/k9CBu6xEESWaLr6zTnQls6urC3v27EFOTg5mzpyJ66+/Hh0dHRM+3z333IP8/Hz1g5UrIko3ykG2k509E45y2Ove9sSM2I63Taq2OBcWkwHDvoA6HhoInROVEZUop/RmtmfIl9Ax5wNyiMqzhlq78kYEqoEsbemLN+hH4rxFVfjLdcfhF5cuifhzStQJfbGFnGFvAG5fEMA47XwOtvMRJYsuQtRELrjgAmzYsAHvv/8+br/9dvz73//Geeedh0Bg/B9Kt956K/r6+tSPxsbGJK6YiCh+LXIFo6rAFvXnVubbUGA3wx8Usbd9QOulhUZHx/gG1WgQMEseSDFyX1SmnBMFAM4cE3LMRgBAa1/iWqtcYSpRZqNB/drZui+qqUf691NTlLgQBQArphep1aVIFMd5VpRyocFiNKgVx5Gq5OEWSiWOiBJH9yFq6tSpWLZsGZYsWYKrr74azzzzDD788MMxAyhGslqtcDqdoz6IiNKF2xdAp9zuM9nEr3BGjtjWel+UKIrqnqgZcWzYDzehL1POiQKkv4NKeV9US0JDlLQ/xmkb/YY6NKEvO/dFKSO+lUELeqEErs4YK1HKQIrCXHPYLp7F8tTAT5p64fUHY1tkBhFFEev3dyfl0GvKProPUUdaunQpAODgwYMpXgkRUWIob7rtFuOYs2AilagJfd2DXvQN+yAIwPQ4DjFV9kUpZ0X5AkF1f08mVKKA0HCJtv7EhSjljKgjqxLZPqGvXR6sEMv0yEQqjvPA3W51gmX431ddSS6Kci3w+IPY2twX2yIzyN8+PoxLfvcBfv7a7lQvhTJQ2oWo9evXAwBmzpyZ4pUQESVGs7wfqjLfFtP0OyC0L0rrSlSD3CZUlZ8Dm9wyFos5FaMn9PXKB4gKwthDRNOVsi8qkZWo0GCJ0X9mDnVCX3aGKKUSVaqzEFWiDJaIcTpftzJUYpxjAARBwLJphQCAjw50x/Q1MskG+c/gg31dKV4JZSLdh6gHHngAzzzzDDZv3oznnnsOV111Fc466ywsXrw41UsjIkoIZahEVQytfAolRO1o6YcoipqsCwD2yXusZsRwyO5ISjtfQ8cgvP4gmuQBE6V5VhijOFxYz9Qx5wmc0Ke08+Ud0c7nkCtTA1nazqdMp1Om1elFUbyVqAnGmyuW1yohqiemr5FJlD2hu9pc8AfY3kja0sWI84nY7XZ8//vfR2dnJ2pqanDllVfi9ttvT/WyiIgSRqlExbIfSjGjNA8WowEujx9NPcMxnTcVjlKJqoujlQ+QqmwOmwkutx8NnQPq3iilQpUJkrEnaiDMYImRv2YlSl+VKHWwxIAXoihGXWlWK1H28au1y6YVAQA2HuyJ6WtkClEUsUcOUV5/EA2dg5hdnjnfXyj1dBWiamtrx1wxveGGG3DDDTekaEVERMnX0iu96Y6nEmU2GjCrPA/bmvuxrblfuxCl0ehoQRAwp9yBjw72YFerS90blUlvciqUs6ISuCfKNW47X/aGqAGPH0NeaZCA3vZEKe183kAQ/cN+5E8QhsKJpBI1f4oTVpMBXYNe1B/qUUNVtuka9KptwoBUlc+k7y+Uerpv5yMiyjbNfaE9UfFIxHCJfXGeETWSOlyi1aXujZqTQW9yklKJkgdLOI4YLKGcG5WNIUqpQtktRuSGGQOeSjZzaFhMmyv610XoGIDxw5fVZMT5i6oAAPe+skvTdt50sqdt9PEOWu8PJWKIIiLSmcMatPMB2g+X8PqDONQt7V2KZ7y5QglMu9tcGdnOVy4Plugc8MCXoP0Yyp6o8dv5sm9PlDreXGdVKEU84bp7cOLpfIqbTp8Nq8mA9fu78ebO9ugXmQH2tkvfU5RuRq0nlRIxRBER6YgoiuqeqHja+YBQJWqHRm8eDnUPIRAUkWsxolyD83eUwPT+vi71XKxZ5fGHM70ozrXAbBQgiqFBB1pjO99Yynhzve2HUsQzcEQZcV44QSUKkL53XHV8LQDgmQ8PRf11MoEyVGLldKmdcUeLa6KHE0WNIYqISEd6hnxw+6SqRUWc7Xxz5UrU4d5h9A7FNg1spH3yfqjppbmabFafW+GEySCo+1dqiuywW/TVfhUPg0FQ98B0JipETXJOlNLul006dDqZT1GphqjoXxOhStTkZ6mdt1Bq6Vu/vzsrJ9MpQyXOWVgFQZAqwrEeckwUDkMUEZGOHO6Rrk6X5FnjOocJAJw2M6rkN2xKAIpHg7wfSotWPgDIt5tx7aemq7+uLoqv8qZHaohK0Ju38dv5zKPuzybtOp3Mp1DaPFv7o6tEBYKiejEkkhA1r8oJp80El8ePbVm4H0j5nrdgSj6K5fbHRB58TdmHIYqISEcOdktBpUajQKEMgFAGQsRDmcxXV6Jdy913Tput/v9RFU7NnlcvlJHWiQhRvkBQrVpyxHmIXsebK2LdE9U37ENQnhFRaJ88RBkNAlZMLwYAfNCQXYfNiqKotghX5ttQIv877EhQRZiyE0MUEZGOHOySBjfUFsc3QlxRJ48i16IStVcJUXGONx8px2LE6m+eiEuOmYqvnVSn2fPqRagSFX875ZEGRgSkI9v5lF9nY4jSeyVKHX0fZYhSWvmcNhPMxsjevh03QwpR7+/LrhDl8vgRkBNnfo5ZfS0k4t8hZa/MaT4nIsoAB7vkSlSxNuc6Ka13DXFWogJBETvljdlzK7WdoDd/Sj7u+/wiTZ9TL5QQlYgr4EpAsluMMB3xpjqb2/kydTpfNPuhFMfVSSHqowPd8AWCEYevdNcnnw9lMxtgMxtRmsB/h5S9suNfExFRmlAqUdM0ClFK1aghzkrUga5BDPsCsJkNmK5hO1+mK0lgO5/LI71RPLIKBUjVCkAaLJFt5wR1pMl0vr5hH4bloSqRUF5DSjCPxFEVDuTnmDHkDagXQbJBjzLFUG57DFWiGKJIOwxRREQ6opzDNE2zdr489XnjOatI2Zh+VIUTRkP8k/myRSLfvIXGm48NUXnybUER6vTDbOAPBNElV2z0Op3PYTXBbpGGxrRGMegglr1eBoOAhVPzAQCbD/dGvsg01ytXopSDjRM94IWyE0MUEZFOuH0BtcVnWpE2lahKpw02swG+gIhGOaDFQjmw9+iqzBv+kEiJ3BOlhKg829gzg3LMRjXsZtO+qK5BL0QRMAjRtb0lkyAIajWqJYqzomIdmLFgihSitjT1RfV56ax3WApRBXY5RDk4WIK0xxBFRKQTSsjJs5o0ewNoMAjqNL149kVta5begM1jiIqKEqK6EnAFfEBu53OGqUQJgjBiQl/27ItS3iSX5Fl1XTENnRUVfSUq2r1eaiUqm0LUke18edKfNytRpCWGKCIinRi5H0qLw2wV6r6oztj2RYmiOKISla/ZurKBsieqZ8gXVztlOBO18wEjJvRl0YG77TrfD6WocEoT+qIZLhHr723B1AIAwO42F9y+7GjtVNr5jqxEcTofaYkhiohIJw7Ik/m0GiqhUPZF7e+MrRLV4fKga9ALgwDMKdd2Ml+mK7RboBRElOlqWlHb+cIMlgBGTujLnhCl98l8iimFUohq6om8xbZjILZ2vqp8G4pzLfAHRexoyY5Dd0MhSgpPSkW4e9Cr+cUMyl4MUUREOqH1UAlFjby/qrE78v0XI723rxMAMKvMgRx5QzxFxmAQUJSbmPHKoUrU2D1R0u3Z187X3q/vM6IUdSXy+W3tkV/YUPdE5UU3MEMQQsMlthzOjpY+pZ2vQB4sUWi3qO2dWl/MoOzFEEVEpBPKBDzlbCetTI3hqvdIL248DAA4e0GlZmvKJokac66Eo/Ha+RxyhWogmypRA0olSp+T+RTRttgGg6LailbmjD4gZttwiSMHSxgNgrrPlMMlSCsMUUREOuD2BdQ3OMdMK9T0uavlStTh3mEEgtGdGdTSN6xWoi5aOkXTdWWL0Jhzba+AD3gma+dTKlHZE6LSphIlXyjpHPCqB8NOpGfIi0BQhBDj1EFlIMyO1mxp55MrUfbQn5V68DWHS5BGGKKIiHRgy+E+eANBlORZNN8TVeG0wWQQ4AuI6ub0SP3t48MQRWDF9CI1jFF0EnVGjRKOnOO28yl7orKnnS9UidJ3iMqzmlAuV5T2RVCNaperJ0V2C8zG6N+6za2UQtTutgH4s2BPkLonKif0b0O9mMFKFGmEIYqISAc2HOgGABwzrUjTyXyA1MpSVSC19EW7L+rlLS0AgItZhYqZ2s6n+Z4o6Y1i3njT+WzZO50vlpa3ZIvm6IFYz4hSVBfakWsxwusPoiHGATPpJNTON7ISJbfzsRJFGmGIIiLSgY0HegAAx9Rq28qnUPZFRXPgbnu/G1sP90MQgNPmlidkXdkg0ZWocfdEZVk7nyiKMQ9fSAV1X1TH5JWoeEOUwSBgToU0WTPTJ/QFg+KIc6JGVKLyEjPghbIXQxQRUYoFgyI+OqiEqKKEfI3qQqkVr6kn8krU27s6AAALpxaoQYCipx64m6AR5+NP55Nuz5bBEi6PH26f1Kqm9z1RQGiAzL5IQlSM481HUlr6drS4Yn6OdODy+KFs/XSOaOcbOeacSAsMUUREKfbSx4fRN+yD3WLE0fIGcK2plagoJvS9tasdAHDqnNKErClblDgSNeJcbucbb7CEethuduyJUv58HVZTWoziD1WiJm+v02JgRihEZXYlShnUkWM2wmYOvQ6UgRxdPHCXNMIQRUSUQi19w/jJv7YBAL5x6syYNo1HQhkKEemYc68/iHf3SFP5Tp1TlpA1ZYvQiHPt3ryJoqhO53OynQ/AiKCRBvuhgFAl6mDX0KTDHtRKVBwV4WwJUT1hWvkAoFj+d6h1RZiyF0MUEVGKdA54cM0TG+By+7G4ugDXnVSXsK8V2hMVWTvflsO9GPD4UZxrUc+YodiUqm1EnqhHzI9nyBtQW5bGGyyRbe18WgSNZJpSkAO7xQhvIIgDXRNXozrkgRnxVKKUPVHtLg+6Mni4gjJUIt8+ehR8sXzodSb/3im5GKKIiFLA6w/iikc/xM5WF0odVjy0ajFMCapCAaFKVEvfMHwRjDj+pFE6s2pJTSEMBm2nBWabQrmNKCiGrpLHS6kuGQ0CcszhW9eUNr/+LAlR7f3KZD79D5UApGEPs8qlYLOzdeJ9SkqrYjyHCOdZTerxCZm8L0o9IyonfCWqZ8gLUdTmYgZlN4YoIqIU+M/WFuxsdaHQbsbzXzsWtSW5Cf16pXlWmI0CgmLozJmJbDkshaiFU1mFipfZaFBbi7Sa0Dcg73Ny2EzjjsQPtfNlyZ6oNKtEAcBcuTq0c5JQE+90vtDXk1r6dmbwobvKGVGFuaNDlLInyhcQs+bCAiUWQxQRUQr88f0DAICrj5+OOnlvRCIZDALK5Sv0rX2Tt/RtbuoFACxgiNKEOubcpU0lSnkTON5QCSB0CK/HH4TXn/kHrHbIe6LS4YwohdJiN1Elyu0LqH/fcYcoeV/U9gzeF6WEqPyc0e18NrNR/ffClj7SAkMUEVGSfdLYi48P9cJsFHDZypqkfd3KfClEtfS5J3ycy+1TD+TkfihtaH1W1MAk480BINcaavMbyIIDd9OxEqWEqF1t44capQplMRnGHSISqbmVyllRGdzONxx+sAQQqkZxzDlpgSGKiCjJnv+oEQBw7sKqpJ5nU5EvDZdonSREbWvuhyhKG995PpQ2lDHnWoUo9YyoCSpRJqMBdnnUdza09LWnYSXqKLm9rrF7eNygOzIcjte6GSmlErW33ZWx1UmlElUQJkQVJ2BSJmUvhigioiQKBEW8urUVAHDR0ilJ/dqRVqK2NEn7oViF0o7WY86VUOSYpDKRTWPOtTiQNtmKci0ok9e7a5yWPnWohAbhcGphDhxWE3wBMaJDftNRaLCEZcx9xaxEkYYYooiIkmj9/m50DXqRn2PGsXXFSf3aFeqeqElClDxUgvuhtKN5O59HaeebOEQpe0AyPUR5/UH1jXE8E+xSQW3pGydEKYNgtGhTFAQBR1Uq+7Ayc1+UMuI8bCWKY85JQwxRRERJ9MrWFgDA6fPKE3aw7nhClaiJB0soV6jnyOOXKX6lGocodbDEpJUo6Y1kprfzdQ1Kf64mgzBmtLXezZb/ne1tD18Z0moyn0Jp6dt2OENDlNrON7YSVcQDd0lDDFFEREkSDIp4ZZvUynfW/Iqkf/2K/MkrUaIoYr88VGJ6aWLHrmeTEofSzqfVniilnW/iwKBUqjJ9sMTIoJFu55rVyf/O9ncmJ0TNl9t0lYpzplHb+cJWohiiSDsMUURESbJ2byfa+j1w2kw4cVZJ0r9+pTxYos3lQSAY/rDJdpcHQ94AjAYB1YX2ZC4voyltRFqNOA9N5+OeKCA0VCKd9kMpppcoIWow7P1aHLQ7knL229bDfeN+H0hXwaCIvona+fKUPVFs56P4MUQRESWJMpXvc0umwGoyTvJo7ZU6rDAaBASC4rgVkYYO6Y3c1MIcWEz8EaEVZTpf16AHohj/G9dIpvNJ92dHO58yVKIsDUNUXYl0Tlxjz3DYiXkdLqlyrFVAnFmahxyzEYPeABoybLiEy+2Hkgvzw7R1hvZEsRJF8eNPSCKiJOge9OK/civfJcdUp2QNRoOgvskcb0LfgS65la+ErXxaUtqIfIHQlfJ4hAZLRNbO58rwdr50rkSVO62wW4wIBEUc6h4ac7/W7XwmowHzp0j7ojY3ZVZLn3JGlN1iDHuhqph7okhDDFFEREnwUn0TfAER86c41T0JqRDaFxV+uIS6H4ohSlM2s1ENNFrsi1IqS3mTVKLysqSdr2NAqdak12Q+QJqYN15LnyiKCRndvmBKAQBgc1OvZs+pB8pQicIwQyWAUCWqe9CLYIa1MlLyMUQRESVYMCjiyXUHAQCXLq9J6VomOytKaeerY4jSnDKhr0ODfVETjXEeSZlU1zeU2e186VyJAkbuixrdXtc37IMvIL3ZV84a08KiaulCzicZVonqkYdKhGvlA6RzuQDpvD4tKsKU3RiiiIgS7O3d7TjYNQSHzZT0A3aPVOGUhku09ocPUcqbuOnyPg3SjnJWVJcGm9qVM5EKcyd+Y12YJYeLpvOeKCB00eLISpTSyldgN2u6j3Lh1AIAwPaW/rD7sNKVEowKc8OHKIvJoF546OBZURQnhigiogT74/tKFaoadsvE7VeJVjnBmHN/IKjuyagt4WQ+raljzl3xvXnzBYJqe17ROG1LCuXKu3KFPlOleyWqrlS6aLGvY3SIapb/nZZr3KZYW2yHw2aC1x/E7rbwh/ymox75YkFBzvj/LkIVYYYoig9DFBFRAnUNePDung4AwJeOrU3tYhDaExWune9w7zB8AREWkwFV8jh00k6JeuBufIFG2fdhEADnJAfLKntDMjlEBYMi2uTKqnKRIN2MtyeqqUe6qDG1UNt/j4IgqKPOM2m4hNLmmj9Bm6sStBmiKF4MUURECfTunk6IIjC30oma4tRXdyaqRDX1SMMmqgtz0u7A0nQQClHxvXkbue/DOMnfk9LO1zPo02S0uh51DnrgD4owCKEqQ7qplUNUh8szahy98m9S6xAFhFr6Mmm4RGiwxPghqowhijTCEEVElEDv7JaqUCfPLk3xSiQVI0LUkW+qlaveU3jIbkIo45XjDVGR7ocCQu1+3kAQg95AXF9Xr5QLAqUOK0zG9Hxbk59jVgdHHOgMjTkPhSjt/00uysRK1FAE7XxKiOKeKIpTen63ISJKA8GgqLby6SVElTlsEATpTfWRwwYOJ/CqN4UqUR1xtvMp+z4m2w8FADkWI2xmw6jPyzRKiKpI8xZU5dDdhhET+hLVzgcAC+RK1K42F9y+zAjY0bTztY8zXIcoUgxRREQJsr2lH50DXuRajFg2rTDVywEgTadS3swfuS8qka1DNKKdL842ou6hyCtRQChsZeqEPmXSZKUzPfdDKZR9UQ0jhkskshJVlW9DSZ4FgaCIbc39mj9/Kkx2ThTAShRphyGKiChB3tvbCQA4bkYJLCb9fLsdb19UU6/0hm1KAUNUIpSO2BMVz/6kaCpRwIgx5xk6XKJFrUSleYgqHT1cwu0LqPt2EnFhQxouUQAgcfuiGruH8M9PmvHK1lYMeeM78Ll3yIt/b27B6s3N47bEqu18E1Wi8qTXCfdEUbxSO2uXiCiDbW+Rru4uqSlI7UKOUOG0YTP60HJEO8vhBF71ptCIc48/iAGPHw7bxJP1xtOjXG2PtBIlP643Q0NUa6aEqCMm9B2WL2rkWoyTHqocq/lT8vHmznbsaNG+EiWKIlb97gN1TPtlK2vwswsXxPx8339hM/67vQ0AsGJ6Ef5y3XFjHtMlt8oWTfBvo8zJwRKkDf1cGgWwZcsWLFu2DGvXrg17/759+2CxWPCVr3wlySsjIorezhbp/JW5lY4Ur2S0UCVqWL3NHwiqbVFs50sMu8UEu0U6MLUrjn1RSiVqoglkIxWo7Xy+SR6Znlrk13G6jjdXzBhRiRJFcVQrnyAkZlrm3Arpe9OOFu3PimroHFQDFAD8/ePDGPDEVo0KBEW8v69L/XX9wZ4x+7iGvH645Ocvn6C1U6kI9wz5MuqgYUo+XYSo+vp6rFq1CitXrkR9ff24j/vBD34Any8zfwgQZatgUMSuVlfGXRX0+APY1yFtED+qwpni1YymbMAfuSeqpc+NQFCExWhI2zHR6UCLMefR74mSwlamDpZokw/arUjzPVHVRXYYBGDA40fHgCehQyUUR1VK35t2t7ngD2gbKD4+1AsAWDatEHUluRjyBvDvzc0xPdfuNhcGPH7kWU0oyrXAH2Yfl3Lgst1iRJ51/Ear/BwzzEYplMY7KZOymy5C1EsvvQSLxYLVq1eP+5jXXnsNH374IZYvX57ElRFRIr25sw1Lf/oaPvvQGnzm5+9gSwaN2t3bPgB/UER+jll3V8gr8qU38iP3RCmtQ1N4RlRClWgw5px7okJEURxRiUrvCqrVZFRbaRs6BpMy6GVakR05ZiM8/iAOdA1N/glR+PhQDwApRF2yvBoA8PyGxpiea+NB6bkWVxdgqdwevamxd9RjlAOXlXOgxmMwCKFJmRl28Y6SSxch6q677sKTTz6Jurq6sPcPDg7i+uuvx89//nPY7ezVJ8oUT7x3AL1DPggC0Dfsw+WPrsPWw5kRpJRWvqMqHAlrxYlVhVN6UzYyRClv2DhUIrG0GHMedSVKPXA380JU37APbp9UQVH2uqQzZV/UnvYBHOyS9kYlco+iwSBgjtrSp+2+qHq5ErWkugAXLZ0Ck0FA/aFePL/hUPTPJYeopdMKsbi6AMDYENUuB6KyCCqSpTxwlzSgixA12RuMb3/725g7dy4uuuiiiJ7P4/Ggv79/1AcR6YvHH8CGA90AgBeuPx7LawvR7/bj6ifW40Dn4CSfrX87W6XvO3Mr9dXKB4T2jrSMOHCXZ0QlR4kj/jHnPfLepok2z49UmMEjzpWW1KJcC2xmY4pXEz/lKIT/bGnBu3uk6Z6L5NCQKMqeTeV7lhYGPX7salUG6xSizGHDt06bBQC4/e9b1UPII7VxRFVrkRqiekY9JtJK1MjHcMw5xUMXIWoizz//PP75z3/i0Ucfjfhz7rnnHuTn56sf1dXVCVwhEcWi/mAv3L4gSvKsWFpTgMevXo55lU50Dnjx1T9/hEAw9hHQerBjRCVKbyoLbDAIwPCIEcqHuqVWHlaiEqvcIQVYpX0yWl55sh8QeTtfaDpf5u0pVifzpfl+KMU5CysBAO/v64LL7Ue504pjEnzGnHKhZ6eGwyU+aepFUJQu2ChTE288dSbOml8BX0DE1U+sx8Ov74nouTpcHhzsGoIgSO18ylj2xu5hdI0IQcr3somGSihYiSIt6DpEffLJJ/jqV7+Kp59+GhUVFRF/3q233oq+vj71o7Exth5cIkqc9/dJV1mPn1EMQRDgsJnxxy8vR4HdjD3tA/jP1pYUrzA+eq5EWU1G1MptQ7vaXPJ/pfXOKs9L2bqygXIWUKzVVmVMuUEAHLbITilRxmNn4p6oPe3S67emKDNa/WeU5o36nnH2gsqE71FUBt9o2c63Wd7funhEFc1gEPDgqsX44opqiCLw4Ou78VJ906TPpbR4zyjNQ36OGfk5ZnWS4eYR7d9qO18ElShleE67yz3JI4nGp+sQ9dBDD2FgYADnnXcebDYbbDYb1qxZgz/+8Y+w2Ww4ePBg2M+zWq1wOp2jPohIX5SDaE+cWaLeVuaw4erjawEAv3prX1wHkqZSh8uDzgEvBAGYXa6/ShQAzJHXtavVBV8giN1t0iRBPYa+TFInh9cDXbGFKHU/lN0S8ZvrkXui0vXf1Hi2HJbe+C+Ymp/ilWjnXLkaJf1/VcK/nhJImvvcmo383tUqhdt5R3w/sZmNuOeihfj2iNa+/ZNcUFAu9Iys6itTBfe0hapnajtfBHvjWIkiLeg6RP3sZz/D9u3bsWnTJvXjmGOOwYUXXohNmzahqirx31yISHvD3gA+ka9UHj+zeNR9Vx9fi1yLETta+rFG3hOQbpQrutOLc5Fj0ec+jdkjQlRDxyC8/iDyrCZU86DdhFIqgJ0DXvQNR99ep+xrinSoBBDaE+UPiuh3x3ZOj15tkysR86dkTog6f1EVcsxGzCl3qJPoEqnQboFRDuRa7ZvbKYeoOeO0M3/rtFk4rq4YQ94Afvv2vgmfa3fr2BA1u0z6f+XiDxCqRCktsxMplR/DEEXx0HWIqqysxFFHHTXqw263Iz8/H0cddRTM5sSc4E1EiXW4dxiBoAiH1TRm8lSB3YKLlk4FIG2uTkd6buVTKG9IdrW51NB3VIWD480TLM9qUtuNYmnpUwaAlEcxic5mNqotfc0x7sXSI5fbhwb5z3B+lX7/rUWrusiO1797Mp6/7tikTPY0GAQU58Y/el/hCwSxt105aDz834vRIOCbp80EALyyrRW+Cc6oUipRI6v6StvxnvZQiIqpEsXBEhQHXYcoIspM6mbwcc5POn1eOQDgzZ3tCKbhgImdOh4qoZhdoVzJdal7DvQc+jKJUo2arI0pnIPyWT61xblRfd604vj2YqVa14AHn/vVezj95+/gu3/5BD2DXvWw1ap8G4oz7IDoKQU5KIhwcIgWQqP34w8V+zsH4QuIyLUYJxxUs3J6MUryrOgb9mHt3vBdB/5AUA1KI6tas+UQtbfNBVEUMewNwCVXWUsjqESVjWjny7QWV0qeyHalJkltbe2kL+a33347OYshooRp7Z84RK2sK4LdYkS7y4Ntzf1pt99hu1LZ0XEomVZkh8VkgNsXxH+3twFgiEqWupJcrN/frVZRorFf3kulnCcUqenFdnzS2Kv5garJ8vh7+9Vzgfa0D6BnyIvj6qRW4Exq5UuVEocVaIlv9L5CaeWbPUll22gQcPaCCvz5g4NY/UkLTp1TNuYxB7uH4PUHkWM2jmo1nlacC7NRwKA3gOY+N/xyJctmNsAZwcAVJTS6fUG4PH44bexsouixEkVESdfaJ7UUjTeW2GoyqgMn3tzZnrR1acHrD2Jfh3TlVM+VKJPRgFll0tVcZbz5vAxqidIzJQDFUhVSDmCdlkWVqCGvH0+tkw5o/fopM2AxGfDmznb86u29AIAFDFFxK8lT2vni3xOlnA8Vyfc/ZXDGf7e3qkFoJGU/1OzyvFGBzGw0qP+Odre5Rkzms0XUApljMcJhlcIW90VRrBiiiCjplAMyK8epRAHAaXOlq5Jv7mxLypq00tA5AF9A2e+l7zOXRrbHGITQxD5KrOkxtvOJoogDnUPyc0Q3AET9mjFOBUylv37UhL5hH2qL7bjljDn44bnzAITOvVpSk9hzlLKBMvK7S4N2vlA78+QXZZZNK4TDZoLL7VfP1htJ2Q8VbkDFLHm4xJ42l/ozJZLx5opSJyf0UXx01c5HRNkhtCdq/JChtHZ80tSHdpcbZRH0ueuBOqSh0pGUTeHx+NpJdRhw++H2B/GZuWW6nSSYaepKQyFKFMWIXyedA14MePwQBGn4QDSUfVgH0zBEvbBROkvoyydOh9Eg4EvHTsOssjxsbuqF3WLCCUdM+KToFedpN1hC+R443mS+kYwGActri/DmznZ8uL9rTOu28lzhjoqYVZ4HbAH2tA2guVf6mXJUZeQXgkrzrGjoGGSIopgxRBFR0il7oiaqRJU5bVg4NR+bm/rw9s4OXLK8OlnLi8u6fd0AgEVTC1K7kAgcVeHE7688JtXLyDo1RbmwmQ0Y8Pixt30AsyKsACoBqCo/B1ZTdIG3tlgKXW39Hgx5/bBb0uPHf+eAB1vkwSdnzq9Qbz+2rhjH1jE8aUXZIxRvO9+hriE097lhMggRt1kqIWrDgW585VN16u3BoIgP90vfT8NVG5XK+caDPeqI9hNmlIx53HiUCX3tDFEUI7bzEVHSKZWo8nH2RCmUalS67IsSRRHv7ukAAJw4K/If5pRdLCYDltcWAUBUZ6Ep7X/RDpUApKMDlDHnB9NouMRa+c9nXqUzbarR6SgUouILFO/tk/6+ltQUINcaWVBfMV0KSB8d6Bk1XGx7Sz96h3zIs5qwKMxwoRNnlcBmNqChcxB72gcgCMBxMyIP1jxwl+LFEEVESeXxB9AlH+g4USUKCO2LendPBzz+QMLXFq+GzkE097lhMRqwcjqvktP4TppVCgBq6I6EEn6mFcd2IHI6Dpd4Z7f053PynNIUrySzaRai5FHlx0dREVowpQBWkwFdg17s6wi9NpXnWjm9CCbj2LerDpsZnz06VJ08usoZ1Vh4hiiKF0MUESVVe7/0A8tqMqhXxsczvyofpQ4rBr0B9Yq0nilrPKa2kPuLaEJKpfLDhu6ILxDEOt5cMV0OX+kyXCIYFLFGDlFK6KTEKHFI4aN70ItAjGfzBYMi3t/XBQA4YWbkIcpiMmBJTQEA4P19oe/z78nPdfwEz3WxfDA7EF0rHwC1sskDdylWDFFElFQjJ/NNtqHeYBBw/iJpBO5Dr+/R/cG7bOWjSB1V4UBJnhXDvgA2HuyZ9PGDHr96ZT7SPVRHUg5Y/u+2trQ4YPS/21vRNehFrsWIZdM4gS+RiuwWCAIQFKUgFYudrS50D3qRYzZicXVBVJ972lHSAetPrzsEURTh8Qewfr8SyMav6p8ws0TtaDhpdnRBm5Uoild67CwloozRIp8RNdl+KMUNp8zA8xsaseVwH/75STM+t2QKgkERQflNoCAI6qbiifS7fTiUgL0g04rtcNjMWNfQpe7dOjnKH+aUfQRBwEmzSvDSx4fxyzf3YkVtEYwGAU09w+gb9qmPqyrIQVGuBc98eAi9Qz5ML8lVz1CL1heWVePh1/dgU2MvPmjowvEzStDSNwy7xYT8nImrwsGgiF1trpirFNHy+IO4/e9bAQBXHl8Li4nXfBPJZDSgyG5B16AXXYMeNWAcyR8IYnfbgPr9124xYnpJLkQRuO/VnQCkfUnR/n1dsrwaD72+G7vaXFizpxMb9nfD7QuizGGd8OgFo0HAY1ctx662fhwfxX4oIDTWvcPljurziBQMUUSUVK0RnBE1UnGeFV87qQ4/f203bvrLJjy2dj92t7ng8UsHMwoC8K1Pz8JNp88e9zk8/gDOeuhdHO4djv83cASDII3fbet3IyhK7SVHV/HwT5rc9afMwCvbWvH+vi6c+8ha9A751MmVI80ozVUniH395BkRXTQIp9Rhxarl1fjzBwdx0/ObYDIYcLh3GMW5Fjx57cpxD1vuG/bhmifWo/5Qb0xfNx6zy/Pwnc/MSvrXzUYleVZ0DXrR6fICFeEf8/0XNuOljw+Puq0o14LKfBu2NffDajLg+2fOifpr5+eYcemKGjy2dj/+54XNaJODze3nzpu0Y2FelTOmg8KVoNg16IU/EAy774poIgxRRJRUypvBSCtRgHSe0e42F1ZvblHHHStEEfjDuw346kl1yBtnGtRr29twuHcYFqNBPQ9FC75AEJ0DXuxslQ6EnFGai7s+d7Rmz0+ZbXa5Az+/ZBGuf6pefQ2ZjQKKc60QBCAQFNHu8qib7acU5OBzS6bE9TW/dlIdnl1/CG39oRamrkEvLnt0HV64/njMLMsb9Xi3L4ArH/sQnzT1wWoyoChXu38/k8mzmvDQqiVRj3On2JQ4LNjVNvFwibVyS2lJnhVmo4DuQa/6AQB3nHd0RIfshnPNCbV4+sOD6oWEL66oVtu5E6FQ3pMritKFguK8yA/qJQIYoogoyXqGpB+2hVG8GbOZjfjlZUvxzU+7sL2lDwum5KM0zwYRIi769fto6BzEvzc3Y9XymrCf//yGRgDAdSfX4btnRH+VdCLNvcPY0dKPDpcHp8wpS5vzd0gfzpxfiWe+shLNfW7UFNmxYEr+qKEkXQMebG3uR1ufG8fUFsbd1ja10I7nrzsO+9oHMLXQjtoSO65/qh6fNPbi//67C7+5Ytmox//lo0Z80tSHQrsZT3/l2Jiu+FN6mGxCX8+gV70I9tYtJ8NhM8PrD2Jbcx8Odg3BbjHi9HnlMX/9qYV2vHbTydhyuA/D3gDOS2CAAqQWRqfNhH63Hz1DDFEUPf60J6Kk6h2S9nsUTjKZL5w5FQ7MqRjdH/+FY6px7ys78fyGxrAhqqlnSL16+oVl2h/YW1WQg6qCHM2fl7LHRNPHivOsmu+xW1pTiKUjDi+9//MLccaDa/DKtlYc7BpUR6EHgiIeW7sfAHDT6bMZoDKcsi+uf8SevJF2t0nV0ikFOXDYpMdKk/UKwx6GG4vqIjuqi2Ib4R+LolyLHKLiO2SYshMbQIkoqZQfVvk52rQFXbxsCowGAfWHesOef/PvzS0QReD4GcWoifF8HaJMNrvcgVPmlEIUoYYmAHhteysOdg2hwG7G55dNneAZKBM4bNJ19X63P+z9Sog68kJWOlPOleqJcSIhZTeGKCJKqr44KlHhlDlsWCifZn/kfikA6l6TaM4tIco2X/1UHQDguQ2NONA5CF8giJ+/thsAcMXKaWxTzQJKdck1TohSvpdmUohS9vixEkWxYIgioqSKZU/UZGaXST/U98hXSkfa2z4AAGM2zBNRyPEzinHizBJ45dHiv3xzL3a3DaAo14JrT5ye6uVREoQqURO38000cjzdKAe+9wyF/z0TTYQhioiSJhgU1TNwCjSqRAHArHIpIO2RA9PIr8cQRTQ5QRDw08/Nh8VkwNq9nXj4jT0AgB+eO1fTCx6kX6FK1NhAIYoidsmVqNkZFKKK2M5HcWCIIqKk6Xf7oJzVWaDRnigAmCX/UN99RCXqcO8whn0BmI0CpiVxszJROqotycXt58xFntUEq8mA8xdV4XOL4xupTunDKVeiwrXztfa70e/2w2gQMKMsN9lLS5hCtvNRHNjkTERJo0zmy7UY4x7VPNJsuRJ1oGsIXn9Qfe69HVIVqq4kjwcpEkXgyuNqceVxtaleBqXARHui9stDe2qK7Bl1bhfb+SgefFdBREmjXO1TJiJppcJpg8NqQiAoqj/sAWBvG1v5iIgi4ZxgT1TPoHRbiYaHlesB2/koHgxRRJQ0SiVKy/1QgLSfY6a6LyrU0sf9UEREkRlZiRJFcdR96kAgjS+ApZo64pztfBQDhigiSpre4cT9IJ4lB6XdbaHhEkqgUgZPEBFReMp0vkBQxLAvMOo+pVKTaSEqNOKc7XwUPYYoIkoapSVE60oUEJoYtau1H4A0mW8PK1FERBGxW4wwGgQAY/dFKSGjIFf7792ppJxX2DvkRTAoTvJootEYoogoaXrVPVHa/yBeMEU6cPfjQ70QRRH7OgbgcvuRYzZiRilDFBHRRARBCJ0VNTy6MtOb4e18QXH887GIxsMQRURJ0yv/YE7ED+JF1QUwGwW0uzxo7B7GhgM9AIDF1QUwczIfEdGkQgfujq5EdcshqijDQpTFZECeVfo9s6WPosV3FkSUNGpLSAJ+ENvMRsyXq1EfHezGRwe6AQDLaws1/1pERJnIYQ1/4G5PgoYC6UGh3KLYzQl9FCWGKCJKGrWdLycxP4iPmSYFpg0HevDRQakStay2KCFfi4go0zjGOXBXbefLzaxKFBDqjOjlhD6KEkMUESWNMuK8MEGbk4+RA9PLW1pwqHsIBgFYWlOQkK9FRJRpnDnhD9wNTefLwEqUHKJYiaJoxR2ifD4f2tra0Nvbq8FyiCiTJeqwXcUyuRLVJ++9mlPhVM8+ISKiiTnCHLjrDwTVPVKZNlgCGDmhj3uiKDoxhaiXX34Zl19+OWpqamCz2VBZWYmioiJYLBasWLECt912GxobG7VeKxGlOfWw3QS185XkWXFsXah975wFFQn5OkREmchpG7snqnfEpL78BH3vTiWlRbGb7XwUJVM0D96wYQOuueYa+Hw+XHHFFbjuuuswa9YslJSUwO12o729HevXr8crr7yCuXPn4rrrrsM999wDiyXzrlwQUXS8/iAGPIm/mvn0V45Fc+8wzEYDKvJtCfs6RESZJtyeKGWvkNNmgikDJ51yTxTFKqp/DRdffDF+/OMfY+fOnfjhD3+Ik046CZWVlTCbzXA4HJgxYwa++MUv4k9/+hP27duHvr4+PPDAA4laOxGlEaXFThBCffeJYDQIqC6yM0AREUUpXIjqHlT2smbmBXGlnU85DJ4oUlFVojZv3oyCgoKIHlteXo5HH30U/f39sayLiDJM6GqmGUaDkOLVEBHRkZR2vpGH7fZk6EG7CrbzUayiqkSNDFDPPvssXn31VfXXf/3rX7F8+XJcfvnlo4ZMOJ3OuBdJROlPOWckE6c7ERFlAodt7HQ+dbx5hn7vZjsfxSrm5tbvfve7CAaDAIADBw7gS1/6EubOnYs9e/bgpptu0myBRJQZehM8mY+IiOITbjpf6AJYZn7vDo04ZzsfRSeqdr6R+vr6MG3aNADAww8/jGOPPRZ//vOfsX79epx//vmaLZCIMkNvBp94T0SUCcLtiVLPiMrUPVG5yohzL0RRhCCw3ZwiE3MlasGCBXj66aexbt06PP744/jud78rPaHBAJfLpdkCiSgzZHpfPRFRulOG/vSF3ROVmRfAlJ9J/qAIl8c/yaOJQmIOUT/96U/x4IMP4oQTTsBxxx2H8847DwDwyiuvYN68eZotkIgyg3LWCCtRRET6VJJnBQAMePxw+wIAQu18mdqKbTMbkWM2AgB62dJHUYgqRHk8HvX/P/OZz+DQoUP46KOP8J///Ee9/eyzz8azzz6r3QqJKCP0shJFRKRrTpsJFpP01rDD5Rn135K8zP3eXcQJfRSDqEJURUUFvvnNb2LTpk0AgJKSEixZsmRU/+jSpUsxc+ZMTRdJROlPOYODlSgiIn0SBAGlcjWqc0AKT239bgBAuTNzz95Tfi71MERRFKIKUS+++CJ6enpw/PHHY+nSpfj1r389apw5EdF4eoc5nY+ISO9KHFKI6nB5EAyKaJcrUZl8gLlSiVKGaBBFIqoQ9elPfxpPPfUUWlpacO211+Kxxx5DVVUVLr/8crz11luJWiMRZYBenhNFRKR7SiWqY8CDzkEPAkERghC6PRMpF/eU/V9EkYhpsER+fj6+8Y1vYOPGjXjvvfdQVFSEiy++GDNmzMDdd9+NpqYmrddJRGlOaZMoyGEliohIr0pHVKLa+pT9UFaYjDHPItM95eIeK1EUjbj/RSxZsgSPPPIIWlpacNddd+Gtt95CXV0dzj77bLz00ktarJGI0pwoiiMmPLESRUSkV6NClLwfqiKD90MBoYFH3BNF0dDssoLVasVll12G119/Hbt27cKyZctw0003afX0RJTG3L4gvP4ggMw9sJGIKBOMDFGtWTBUAghVonrZzkdRiDtEeTwetLS0oLm5Wf2wWq246667cODAAQ2WSETpTrm6ZzIIyLUYU7waIiIaz8g9UWolKj9z90MBoYt73WznoyiYYv3Ejz/+GF/5ylfUcecKURQhCAICgcCo0edElFhuXwDD3oB0cKDOgoq6H8pu4fcFIiIdC9fOV+7I9EoU2/koejGHqC9/+cswGAz405/+hKqqKhiN+nrTRpRN3t7Vjm89+zH63X4A0r4jqynyQnOe1YSHL12C+VPyE7K+Pk7mIyJKC2Wj2vmkwRLlGTzeHBgx4pwhiqIQc4javXs33n77bSxfvlyzxWzZsgVXX301Hn74YZx44okApIrXzTffjI8//hgmkwnnnHMOHnroIRQWFmr2dYnSWUvfML7z/CY1QAHR93W3wYPnNhzCT6cs0Hp5AMChEkREaaJEbufz+IPY1z4AIPMHS4QO2/WpHVVEk4k5RB133HHYuXOnJiGqvr4e9957L/71r39heHh41H179uzB+eefj5///OdoamrCDTfcgK9//et47rnn4v66RJngtr9tRe+QDwum5OOv1x8Hjz+I1j43fIFgRJ+/fn837ly9HRv29yRsjSPb+YiISL9yLEY4rCa4PH4c7pXek2XyQbtAqBLl9Qcx5A0g1xrz22PKIjG/Sh5//HF8/vOfx0cffYSlS5fCbB59hfmyyy6L+LleeuklWCwWrF69Gqeddtqo+y655BL1/5csWYKdO3finnvuiXXZRBnF7Qvg3T0dAID7v7AQNrMRNrMR+TmRV3wq8224c/V27GpzoWfQm5Dpeb3qGVGsRBER6V2pwwqXJ9TdkOl7onLMRlhMBnj9QfQMeRmiKCIxv0ree+89bNmyBR999NGY+wRBiCpE3XXXXRAEIaJpfsFgEMXFxRM+xuPxwOPxqL/u7++PeC1E6WTL4T74AiJKHVbMKXfE9BzFeVbMKM3Fvo5BfHSwB6fPK9d4lUD3oE/9WkREpG8leVY0dA4CAGxmA5w5mR0qBEFAkd2C1n43egZ9mModIxSBmEec33LLLfjc5z6HAwcOIBAIIBgMqh+BQCCq54qk99Tn8+Gdd97BL37xC/zgBz+Y8LH33HMP8vPz1Y/q6uqo1kOULjYelFrwltUUxtXDvWK6dGFiw4FuTdZ1pK5B5dR7tvMREendrPI89f+XVMf38yVdhPZFcbgERSbmSwtutxv/8z//g5qaGi3XE9YZZ5yB119/HQDw3e9+F1/60pcmfPytt96Km2++Wf11f38/gxRlpHo5RC2dVhDX86yYXohn1x/C+v2JCVGdA1KIKmaIIiLSvf896yicPLsUhbkWLJyamKmtesMx5xStmEPUjTfeiH/+859YvHixhssJ79FHH0VXVxd2796Ne+65B+vXr8cbb7wBkyn88q1WK6xWtg1RZhNFEfWH5ErUtPh6D5bWSJ+/vbk/IZOJugakH0rFufx3SUSkdw6bGWccXZHqZSSVOuacB+5ShGIOUc3NzfjHP/6Bf/3rX1iwYMGYQPP73/8+7sUpampqUFNTgyVLlmDFihWoq6vDm2++iTPOOEOzr0GUbg51D6FzwAuL0YCjq+K7UliZnwMA8AaC6B70ar53qVMJUaxEERGRDintfN1RHhFC2SvmELV3714cffTRAID9+/ePui+RvbNKWIt23xVRptnc1AcAmFflhM0c32HXFpMBJXkWdA540drv1jREBYMiutU9UaxEERGR/iiVqF6281GEYg5Rb731lpbrGNeNN96IU045BXPmzEFzczN+9KMfYebMmTj11FOT8vWJ9OpQ9xAAoK40V5PnK3fa0DngRVu/O+7K1ki9wz4ERen/ixIwPp2IiCheBeqeKFaiKDJRTec755xz0NzcHPHjn3nmGfzyl7+MelEjVVVV4Xvf+x6WL1+Or33ta1i8eDHWrFkDmy2zzywgmkxTj3QI4tRCuybPp5xI39rnmeSR0emSh0oU2M0wG2MeCEpERJQwRbnydD7uiaIIRVWJOvXUUzF//nxcdNFFuPrqq7Fy5coxh+y2tbXhP//5Dx555BGYTCY8/fTTET9/bW0tRFEcddsPfvCDSUeaE2Wjph6pElVdmKPJ85XLJ9K39rs1eT6Fuh+KVSgiItKpAk7noyhFFaJuueUWXHLJJfjlL3+JVatWobe3F9OmTUNRURE8Hg/a29vR0tKCFStW4Oabb8all14KozG+vRpEFJ5Siaou0rYS1dandYhSxptzPxQREelTkZ3T+Sg6Ue+JqqmpwX333Yf77rsPDQ0N2Lt3L7q7u2GxWFBaWorFixfD4XAkYq1EJAsGRRxW2/m0qUSp7XwaV6KUdj4etEtERHpVyD1RFKWoQtT111+Pr371q1i2bBkAoK6uDnV1dQlZGBGNr83lhjcQhMkgqOEnXko7X5vWIWqQZ0QREZG+Fcp7ooZ9Abh9gbin3lLmi2qX99DQEE466SQsWrQIjzzyCLq7uxO1LiKagNLKV1lgg0mjYQ1KGGuJoZ0vEBTxg79twSW//QBDXv+o+3hGFBER6V2e1QSTQTqih/uiKBJRvfv685//jJaWFnz961/Hk08+iSlTpuDSSy/F66+/nqj1EVEYjd3KUAlt9kMBoRDVN+yD2xf5OWyiKOKH/9iKZz48hPUHurF2T+eo+0PtfKxEERGRPgmCgEJ5AFI390VRBKK+hO10OnH99ddj/fr1+PDDD1FRUYFLL70UtbW1+MlPfoJDhw4lYp1ENEKTxvuhAMCZY4LNLH1LaI2iGvXunk4882Ho3/3GQz2j7lfa+bgnioiI9KzQLrX09XJfFEUgrj6ghQsX4qGHHkJzczPuvfdevP/++5g5cyY++9nP4q9//St8Pr4IiRIhEZUoQRBiGi6xtblv1K8/Ptg76teczkdEROlAGXPOShRFQpPNFBaLBatWrcKrr76KPXv24Pjjj8f3vvc9VFVVafH0RHQEtRJVpF0lCgDKndEPl2jsltZy3iLp3/snTb3w+oPq/V08J4qIiNJAEc+KoihEHaLWrFkDADh8+HDY+6dNm4Y77rgDr732Gp555pn4VkdEYbX0ScGlKl/bEFVVID2fEtIioRz6+6lZJSi0m+HxB7G9pR+AdDVvwCMNmqjUeK1ERERaKnFIIarT5UnxSigdRB2izj33XADA8uXLJ3zcZZddBo+HL0KiROiQv8GXaTTeXDGtWGoPPNg1GPHnKK2FNUV2LJtWCADYeFDaF9XQMQAAmFKQgxwLx8USEZF+lTsSc14iZaaY2/lEURz16xtuuAFbtmxRf71r1y4sWrQo9pURUViDHj8GvdL0vDKHtvuMppfkAgAOdA5F9PhAUMThXqlqVV1kx5IaKUTVqyFKCmN1pbmarpOIiEhrynmJrf0sAtDkojpsF5DC0y233ILe3l5ccsklAIArrrgCf/vb3/Dyyy/jnXfewcDAAPLy8lBdXa35gomynVKFsluMyLVG/U94QrXFUthp6IysEtXW74YvIMJslIZSLKkuACDtiwKAfXIlakZpnqbrJCIi0poyXKkthvMSKfvEVIk69dRTYbPZcMEFF6C+vh7Tpk0DAPzkJz/BF7/4Rfztb3/DBRdcoOlCiUjSrrTyaVyFAoBauRLVOeCByz35dM1DcitfVUEOjAYB86fmQxCkPVVdAx7sYyWKiIjSRIVciWpzMUTR5KIKUb29vRAEAeeccw5ycnJw+eWXo6ioCEcddRQEQcBVV12FyspK3H333fjqV7+aqDUTZTWlElWagBCVn2NWp+gd7Jq8pe/IUetOmxl1chDb3NSHhk6pElVXwkoUERHpm7InqncoukPnKTtFHKL+/ve/Y+bMmZM+7uyzz4YgCDj66KPjWhgRhdcuXyErc2g7VEKhVKP2R9DS19ij7IcKTd5bNLUAgDRc4pAcxGaUsRJFRET6NvLQ+WiO+qDsFHGIqqmpwXPPPRf2PkEQAADNzc248847sXDhwnEfS0TxSWQlCgjtizoQQYhqkitRU0cc+rtwaj4AYPXmZviDIuwWo9pnTkREpFejDp3nviiaRMS70pcuXQpAGizxpS99CZ2dnVixYgV27NiBp556CqIo4qyzzsLPfvYzOJ1O3HvvvbjqqqsStnCibNWe4BA1vUQKRPsjGHPeKJ8RVV0UClGL5OESB+Qq1PSSXPVCCxERkZ6VOW040DWENp4VRZOIerCEIAi45ZZb4HQ68eCDD+KVV17BGWecAQC4++67cfnll+Ozn/0stmzZgt7eXq3XS5T1El2Jmi7vX4qkEnVYbuebUhBq55tb6YTZGApNs8sdGq+QiIgoMTihjyIV03zkRYsWwWw244QTTlBvmzVrlnoQr8ViwZIlS7BmzRqcf/752qyUiAAkdjofENq/tKPFBZfbB4fNHPZxwaCorqWqINSuZzMb8b9nzcVbO9tRXZSDr500IyHrJCIi0lpFPg/cpchEHaI8Ho+67+nOO++EIAiw2Wy4/PLL8corr2DJkiUoLy/HZz7zGRgMMZ/lS0TjSHQlak65A3WluWjoGMQ/NjXjimOnhX1c56AH/qAIgwCU5o1ey7UnTse1J05PyPqIiIgSpdzJEEWRiTpE3XDDDejp6cG8efPQ09MDABgaGkJfXx927dqFHTt2YPHixfjWt76lVqaISBv+QBBdg0olKjHDGgRBwOUrp+Gu1dvx5AcHYTUZUFeah2XTCkc9Ttl0W+qwwmTkBRMiIkp/5U7pomA7QxRNIuoQVVlZie9///th7/N4PNi1axc++OADfO9730NDQwNuv/32uBdJRJLuQS9EETAIQJF8nlMiXLx0Cu57ZSd2tbnwvRc2AwAuWjoF9128UA1MSoji5D0iIsoUFaxEUYSivnz8//7f/wMAfOc738GVV16JK6+8EldddRUCgQB++9vf4rbbbsN1112HhoYG3HHHHfB4ON2ESCvKHqSSPCuMhsRNvCuwW3DlcVIb35xyBwQBeKn+MP6ztVV9jPIDppwhioiIMkSlPCiptc+NQFBM8WpIz2LuwXnxxRfxuc99Dueffz5efvllDA8P44EHHsD//d//AQCsVitEkS8+Ii0lej/USLeeNRdbf/JZvHrTSbh0eQ0AYEdLv3q/UomqzGeIIiKizFDhtMFsFOALiGjpG071ckjH4trIcNFFF+Hzn/88bDYbHnnkEVx88cWYPXu2er/RaOT5MEQaandJwSVRk/lGMhgE5Fmljt855dLY891tA+r9SogqZ4giIqIMYTQI6gHyh+QD5YnCiThErVmzBu+88w78fj/WrFkDj8eDd999V/3/5557Dp/61KewZs0a7N27F4C0QZ0T+oi0k8xK1Eiz5LOe9ra71NuUdj5WooiIKJPUyAfINzJE0QQiHixxxx13AADcbjfuuOMO9Pf344477oAoiujs7ITD4cAvf/lLAMAFF1yA73znOxAEgZUoIg2FzohKbnCZJVeiDnYPwe0LwGY2ck8UERFlJCVEsRJFE4k4RL311lsAgKKiIrz11luorq7Gm2++CUCa2Dd//nw88sgjqKmpUT9HEAQYjUaNl0yUvVJViSrNsyI/x4y+YR/2dQxgXqWT0/mIiCgjhUIU90TR+DTptTObzfj5z3+OVatWwe3mSEiiRAlVopIbogRBwGy5GrW3fQAujx9D3gCA0OnuREREmaCalSiKQMwhShRFLF26FEuWLEF7ezumTZuGc889Vz0Xanh4GFZrct/oEWW6VFWigNC+qN1tLrUK5bSZYLdEfdwcERGRbnFPFEUi6nc/ixcvBiANmvD5fKEnMpnwrW99C8uWLcOdd96JV155BUuWLNFsoUTZThTFEdP5kl/9mVUmVaL2tA2gRR1vnpP0dRARESVSTbEUoroHvXC5fXDYzCleEelR1CHqD3/4A9544w2cdtppY+5zOBzYtGkT3nrrLdx88834y1/+oskiiQgY8Pjh9gUBpKYSNadCqkRtPdyHbc19AIDpJblJXwcREVEi5VlNKM61oGvQi8buYcyrYoiisaJq5/vlL3+JJUuWqAMlzjrrLJSVlY36qK6uxu2334433ngDK1asSMiiibKRsh/KYTUhx5L8gS2LqwtgMgho7nPjn5uaAQDH1BYmfR1ERESJFtoXNZjilZBeRRyi1q5di1/84hd4+eWXcffddwMAent7ccstt2DDhg3qx+uvv47c3Fz88Ic/RFNTU8IWTpRtUrkfCgDsFhMWTM0HAOxslc6LWjaNIYqIiDJPXanUabGtuT/FKyG9ijhEnXjiidi2bRtOPPFE9bYVK1Zg0aJFmDZtmvqxZMkSrFmzBgsWLMCdd96JQCCQkIUTZZv2FIcoADi2rlj9f5vZgKOr8lO2FiIiokRZUVsEAPiwoTvFKyG9impPlNk8uif04YcfDvs4g8GAW2+9NfZVEdEYqa5EAcDK6UX4zdv7AACLphbAYtLklAQiIiJdWSlfNNzU2KseMk80Et8BEaWJVE7mUxxTWwSjQQAALJev0hEREWWa2mI7yhxWeANB1B/qSfVySIcYoojShB4qUXlWk9ricNLs0pStg4iIKJEEQVBb2NnSR+EwRBGlCSVElaUwRAHAL764BC9cfxxWTGclioiIMtfKOunn3H+3t8Hl9k3yaMo2UZ8TRZmrrd+Nqx5fD7cvgGNqizCtyI48mwlFuRact7AKBrmNi1LjcO8wAKAiP3XtfIBUCUtlNYyIiCgZTplTBqvJgB0t/TjvkbV45ItL1Sm1RAxRBABw+wK47smN6ujqA11Do+43CALOW1SViqURAFEUcbhHClHVhfYUr4aIiCjzTSnIwTNfXYlvPbsJB7qGcNFv3sMDX1iECxZPSfXSSAfYzkcAgF++uRebGnuRn2PGw5cuxnc+MwtfWDYV8yqdAIC3d3WkeIXZrcPlgccfhEEAKgtSW4kiIiLKFsumFeHf3zoRZ8wrhy8g4v/9Z2eql0Q6wUoUAQD+u70VAHDHefNGXWF5d08HvvTYery/rxOiKEIQ2NKXCo1yFaoyPwdmI699EBERJUuB3YKHLl2MBT/+L1r63Gjtc6e8tZ5SjyGK0Dngwe62AQBS/+9Ix0wrgsVoQEufGw2dg5hRmjfu8zR2D6HcaRtzdlDvkBeN3cNwecbflOm0mXF0lZMhbRxNPVJ75dTCnBSvhIiIKPvYLSbMLndgR0s/NjX24sz8ilQviVKMIYqwrqELAHBUhQNFuZZR9+VYjFg6rQDrGrrx/t7OcUPUGzvacO2fPkJdaS7u/twCWEwCVm9uwTu7OtDQORjROh6+dPGEfcYutw9f/fNHECDglDmluOaE6Vlz2GuTXImayv1QREREKbG4Oj8UouYzRGU7hijCB/ukEHXcjOKw9584swTrGrrx3t4ufOm42rCP+dMHBwEADR2D+OIf1o25v9RhRUGOGeEKTZ0DXnQPerG9pX/CEPXe3i6sk89q+KChCxsO9OBXly+B1ZT5p4g3dkuVqOoiVqKIiIhSYXF1AZ5d34hNjTx8lxiiCFIgAYDj6sKHqOXy4apbm/vC3t/W78baPdLgic/MLUP9oV4YBAEr64pw/qIqHDu9GPl287hf/7fv7MP/+89O9Ryk8XS43Or/W00GvL6jDf/74hY8uGrxhJ+XCZo4mY+IiCilFlcXAgC2NPUhEBRh5NEvWU1XvVBbtmzBsmXLsHbtWvW2rq4uXHPNNSguLkZ+fj5OP/10bN68OYWrzCwdLg8aOgYhCMDK6eFD1NQi6Y17W78bwaA45v6/fXwYQRFYXluIR69ajvofno6Pbv8MfnXZUnz26IoJAxQAlOZZ1bVMtlYAuOLYGjx61TEwCNLXfntX+6S/z3TXyD1RREREKTWzLA+5FiMGvQHsbR9I9XIoxXQRourr67Fq1SqsXLkS9fX1o+676667YDQa8e9//xuvvPIKAODMM89Ef39/KpaacXa2Sn+O04tzxw075Q4rDALgC4joHBgbdFZvbgYAXLx0akxrKHFEGKLkr12aZ8OnZpXiyydMBwDc/vetGPYGYvra6SAQFNEsH7RbXcRKFBERUSoYDQLmyke/7G5zpXg1lGq6CFEvvfQSLBYLVq9ePea+m2++GY8++iiOPfZYHHfccfjTn/6ElpYWfPDBBylYaebZJR+uO6fCMe5jTEYDyhzSKM/mPveo+0RRxB55st94e6omo1SiwgW0kZSQVSqHrptOn42qfBuaeobxQn1TTF87HbT1u+ELiDAbBZQ7OVKViIgoVcrl0ebtk1z4pcynixB111134cknn0RdXd2Y+2pqakb92maTXryBQOZWHpJJuZIyu3z8EAWEDnht7RsedXvHQOgQ2KqC2FrNlFDUNeiFPxAc93FHhqhcqwlfPUl6zTyxdn/YVsNMcECeblhVkMP+ayIiohQqi7B7hjKfLkJUNGcD/eEPf0BOTg6OPfbYcR/j8XjQ398/6oPCi6QSBQBV+VJAau4dXYlq0uAQ2KJcCwwCIIpA96B33Mcp37CUb2AA8IVjquGwmtDQOYh3dnfE9PX1rv6QNAVo/pT8FK+EiIgouymdOe0u9ySPpEynixAVqUcffRS33XYbHnjgARQVFY37uHvuuQf5+fnqR3V1dRJXmT6CQVE9ZHfSSpRcvm45ohKljN6eEsfAA6NBQLHc0jdeeVwUxdCeqBEhKs9qwqrl0t/vY2v3x7wGPdtwQApRx0wrTPFKiIiIshsrUaRIixDldrvxta99Dd/4xjfwu9/9DjfccMOEj7/11lvR19enfjQ2NiZppemlqWcYw74ALCYDaosnHlhQKbfqHbknSqvR2+qEvnH2RfUO+eALSO16xXmjDwS+6vhaGARg7d5OdVBGpggERbUSpYyaJyIiotQoc8oXffsZorKd7kPU8PAwzjjjDLz11ltYt24drr322kk/x2q1wul0jvqgsXbJ+6FmlubBNEkrXpVSieodXYlq0mj0dukkV3aUcFVgN485XLe6yI7PHi2dHP7E2gNxrUNvdre54HL7YbcYcdQkLZdERESUWOr7lUmGYVHm032I+uEPf4iOjg6sX78eS5YsSfVy0lIwKGJbcx+8/tFDG3bJVZvJ9kMBoUpUy3iVqDhHbyvflMab0KcOlcizhr3/2hOlced/23RYDXaZ4KMD3QCApTWFkwZdIiIiSixlT1T3oHfM+yrKLrp/V/bss8/i3HPPRVdXF/bu3at+tLa2pnppaeO5DY045xdrceZDa7B+f7d6+9bDUoiKpMKhVKLa+t2jJugpe6ISXolShko4w4eoZdMKsby2EF5/EN9+bhN8E0z5G08wKOJQ1xACOprypwzLWMb9UERERClXaDfDbJQGok12NAtlNlOqFzCZlpYWPPDAA3jggQdG3X7xxRfjhRdeSNGq0ouyp6ahcxBXP7Ee7/3Pp1FgN2OjfPvSCN6gl+RZYTYK8AVEtLs8qCrIQTAo4rBGh8Cqe6ImCVHjVaIEQcD/fWExzvnFu9h4sAerfvcBrjq+Fucvqopo+mO/24dvPF2Pd/d0wmEzYW6lE+VOG4zjfKrBIOCLK2om3afUOeDBtubw+7TyrCaU5FnQ7vJgaMRhwVMKbJhRmodXt7Xh9R3tMAhQ2xWJiIgodQRBQGmeFc19bvX9EGUnXYWo2tpaiOLoKkAwyFJpvPbL5wwBwJA3gDd2tmPl9CJ0uDwwGwUsiGB0tsEgHfTa1DOMlr5hVBXkoM0lHQJrMgioiPMQ2MkqUcoo0ZGT+Y5UU2zH/V9YiBuf+Rj1h3pRf2gTXt7Sgvu/sAhOm3ncz/P4A7j0d+uwvUUKOy63f1TFbjz72gfwjxtPHPd+URRx0a/fx6Hu6NsL86wmtU3gupNnYF4V9/URERHpQalDDlH9HHOezXQVoigxGjqkMeanzyvHa9vb8N9trTDJh7YeXZUPm9k40aerqgpy0NQzjMbuYSybBjR2D6u3x3sI7GQbNY88aHc8Z86vxJrvF+C5DY34zdt78eq2NhTk7MC9n1847ue8s6sD21v6UWA3489fXgEBAho6B8YNdL1DPvzyrb3Y1zEIURTHrXR1DXrVADWvcnQIEgH0D/vQOeBBqcOqhrygKGJ/5yAGPH71877zmVkT/p6JiIgoeUodNgB9HC6R5RiiMlzPoBc9Qz4AwHUn1eG17W1Ys6cDzhzpTXs0e21mlOZh/f5u7JND2cEuqcJVXRR/KbtEbtPrnGQ6X8k47XwjVRXk4ObTZ2NpTQGufmID/rW5GT86bx5yreFf7qs3twAALl46FQunFgAAFkwdvzrn8Qfw67f3YsDjR8eAR91keiSlAji1MAcvf/tTk6575PMf6hpCUASmFdvHTCMkIiKi1OGYcwLSYLAExadBfiNfmW/DsmmFmFKQA7cviBc2NgGILkTNLMsDAOxtl0LUbnlE+qyy+Edv58kBZ+TeoJEGPNLtE7XlHenk2aWoLbZjyBvAK1vDDyIZ9gbw+o42AMA5Cysjel6ryaj2QB/oHL9Vb3+H9Gc/vSQ34jUrzz+r3IE5FY6Iq4RERESUHMqBu+08cDerMURlOKWVr640F4Ig4Kz5owcULK2JPUTtbJVClBbnF+VYpLDgD4phJ+sNe6X2Nrsl8lAhCAIuWjoVAPBifVPYx7y9qx1D3gCmFORgSXVBxM+tBKMDI/abHUkJsNGGKCIiItIvpQOlw8U9UdmMISrD7T/ijfy3PzML/3vWUTjtqDJ869MzUZEf+UCIGaVycOgahD8QVCtRs7UIUSMqLuGqUcM+6TZbFCEKAC5aOgUA8EFDV9hRpK/vaAcgVaEimeKnUP4893eNH6L2dw6MeiwRERGlv8mGYVF24J6oDNcgt5TVlUhVJIfNjOtPnoHrT54R9XNV5ecgx2zEsC+AzYf70Cb3As+SK1TxMBsFGA0CAkERbl8A+Tmj2/aGvVJ1KifK9raphXbMKXdgV5sLGw/2jBkV/rE85v24GcVRPW9t8eSVqCMDLBEREaW/Qrv0HqVv2JfilVAqsRKV4dQ38qXxv5E3GATMKJOe52V5GMOUghw4otinNB5BEGCXA1LYSlQM7XwK5Rys+oM9o27vGfSqLXfRtPIBIypR44SoYFDEgS5pv5QSYImIiCj9KRd6exmishpDVAYTRREHupRKlDbVkJmlUiB4eYsUorTYD6VQWvWGjwhRoiiq7XzRVqKA0PCMjUeEqE2NvQCk/WIFdktUz1lbEmptDAbFMfc39w3D6w/CbBQwpZAH8REREWWKfLkS1T/sC/segLIDQ1QGG/D44ZEPbB1vDHe0lOESzX3SZkot9kMplCrTsM8/6naPPwjle1RODJUoJURtPtynHmALhFr5llRHPlxDMbVQOhvL7QuiLczGUqVCNa04N+4ztIiIiEg/lEpUUARcHv8kj6ZMxRCVwboGvACkcBJL+Ahndvno0DSnXLsQpVSZlP1PCrcvMOYx0agttqMo1wKvP4htzX3q7fWHegEAS2oKon5Os9GAarnCdLBr7JhzZa+UsneKiIiIMoPVZFTfj/SzpS9rMURlsK5BKUQV50XXqjaRk+eU4rqT6jC7PA9zyh04aXapZs+tnIk07BvdzqfskbIYDTAZo3/JCoKApXJQUlr6gkERn8jtfNGMeR+pKFf6c+0dGvsNVPmzVw7kIyIiosyh7osK8x6AsgNDVAbrkkd6F+Vq90beajLi1rPn4r83nYxXbzpJDRJaUNr5hryjS+PqeHNz7C/XY2qLAADrGroAANua++Hy+JFnNWF2eWyDH5zyN9B+99hvoP3D0u8hmsOBiYiIKD0U2JXhEt4Ur4RShSEqg3XL1ZASDYNOIimlcfcRlShl0EQ8LYknziwBAHywrwu+QBDv7u0AABxbVxxTdQsIXYUKV8pXxp4eOaqdiIiI0p/y851jzrMXQ1QGU1rKtKwWJVKOJfyIc6USZbfEfqzZvEoninItGPQG8PGhXry7uxMA8KlZJTE/p1JlCheilOqUM4dHsREREWUatvMRQ1QGUwZLFOelx76cnHH2RCmVKFsMQyUUBoOAE+Rq1GvbW9W9USfGE6LkgNTvHjuZRwlWbOcjIiLKPAU8cDfrMURlsK5BaU9UcZpUouzjnBOlVKZiOWh3pE/JIepP7x+ENxDElIKcuM7PmqiUz3Y+IiKizMV2PmKIymDdCZjOl0jjHbbrjuOg3ZGUqpM3II1QP3FmCQQh9jOcJmrnc8nVKSdDFBERUcYpsCsTejlYIltxw0YG6xxIsz1RckgaGmfEeTztfABQVZCDH547Dx/s64LdYsQNp86I6/lYiSIiIspOTlaish5DlE4Nef1o6BjE/Cn5MT9Ht9zOV5Ime6KUdj33uIMl4j8w+NoTp+PaE6fH/TzA+CPO/YEgBjzKiHP+EyMiIso0BRwskfXYzqdTd/5rO859ZC3+sKYhps8XRVFt50u3StTYwRL+UffrxXiVKNeIQRNs5yMiIso8HCxBDFE69dyGRgDA3S/vwN52V9Sf3+/2wxcQAaRRiJJHmI834jyec6ISIbQnavR0PqUyZbcYYY7xDCoiIiLSLw6WIL7D0yGlFUzx439uj/o5ugakVr48qynuvUTJMn4lShoEobsQJY84H/YF4PUH1duVUMXx5kRERJmpIEcZLMEQla0YonRoZ0v/qF/XH+qBKIpRPUe6tfIBQI5FejkeOZ1v2CeFErvOwqBjREgauS+KQyWIiIgym/IzftgXgMcfmOTRlIkYonRohxyiPjWrBAZBam/rcHmieo7OgfQabw4AOeZQZWckJVTprRJlNAhwWOUDd0eU85VApVSqiIiIKLM4bCYop6SwpS87MUTp0PYWaQ/Uwqn5mFpoBwDs7xyM6jnUM6LSqhI18WG7emxLDDfilJUoIiKizGYwCBOeF0mZjyFKh7bLlai5lU5MK5ZC1MGuoaieQ6lcpct4cyA0wnxMJUrDEedaC405D+1jU76Zck8UERFR5lIm9HFfVHZiiNKZQFDErtZQiJpekgsA2N8VXSWqtX8YAFCRb9N2gQmkDpY4ck+U0s6nx0qUbaJ2PoYoIiKiTMWzorIbQ5TOHOoegtsXhM1sQG1xLqYVSyHqQJTtfK19bgBAhTONQtSISlQwGBqkodcR50D4EafK/zNEERERZa5wLf2UPRiidKa5V6ogVRfaYTQImF4itfMdiLKdr7VfaudLx0oUAHhGjAxXQ5QeK1FqO9+ISpQ64pyDJYiIiDJVgV0ec84QlZUYonSmrV+qIJXLFaRauRJ1sGswqjHnrX3p1843cnDEkDe0x0iv0/mAiStRHCxBRESUufLlKbysRGUnhiidaZMrSGVOaSDE1EJ71GPO3b4AeuT+3HRq5zMaBFhN8llRI4ZL6HqwhDqZZ8RgCe6JIiIiynjKgbt9Q94Ur4RSgSFKZ46sRFlMhqjHnCvPYTMb0q4aEm7MuZ5HnCtXofpZiSIiIsoqys95tvNlJ4YonWl3ySHKERpNXitP6GuIMESNHCohKCfBpQm7efSY80BQhFfeH2W36G+PUbhNpUpVysE9UURERBkr387BEtmMIUpnlHa+8hFteLPK8gAAe9oGInqOVrkSlU77oRS2IypRI9v69DhYokg+zLhzQPp7CwZF9AwpBx2nzxldREREFB2OOM9uDFE6o7TilY0IUbPL5RDV7oroOdJxvLlCCUpDcnga2dZnM+vv5aocZtw5IAWnniEvAvJ49uI8S8rWRURERImltPP1sxKVlfT3rjSLiaKIdrUSFapizCxzAIilEpWj8QoTTxke4ZbDk3vEeHM9tiaWym2X3YMeBIKiGqYK7GaYjfznRURElKk44jy78V2ejvQO+eANSPt/Sh0jQ5RUiWrtd0fUdxuqRKVfO5kyPEIZJjGk4/HmQKidLygCvUNeta2vNC/9/uyJiIgociOPOYnmGBrKDAxROtImD5UoyrXAagqFhvwcs9qat7d98mpUJlSi1HY+HR+0CwBmowGF8sbSzoFQiCphiCIiIspoBfLP/0BQxIDHP8mjKdMwROmIekaUY+wb8FnKvqi2yfdFqZWoNBwskStP4BuSvxkNyv/V4xlRitC+KI96lldJmL9DIiIiyhw2sxEW+XxLDpfIPgxROnLkGVEjzVL2RU1SieoZ9KJFDlG1xXaNV5h4ylhwl9sv/9c36nY9UgZIdA540KFWojhUgoiIKNMVhDnqhLIDQ5SOtKshavxK1O5JKlGbGnsBAHWlueqGx3TisEnfjJSyuBKmlNv1SKlEdbg86HR5R91GREREmauAZ0VlLf1e3s9Abl8AX/jtB+Pe39I3DCB8JeroKicA4ONDvfD6g2r5+EgfH+oBACypLox3uSmRJ1ec+uUKVChE6felOnLMOQdLEBERZY98VqKyln7fmWaoLYf7Jn3M3ErnmNvmV+WjJM+KzgEPPtzfhU/NKg37uR/LlaglNQXxLDNljmznUypSeg5RyiTFzgFPaLCEI/2qgERERBSd/Bx5zDn3RGUd/b4zzUBmowFPXLN8wscU5JixuLpgzO0Gg4DTjirD8x814o0d7WFDVDAoYtOhXgDpG6LyrNJLcmDMnig9t/OF9kRxOh8REVH2UCpRvcPeFK+Eko0hKomMBgGnzimL+fNPmyuFqNd3tOGO8+aNOXx2b8cAXB4/7BYj5pQ74l1uSjjlsOTyHNHOZ9XvS3XUnij5sN1STucjIiLKeNwTlb04WCKNnDirBBaTAU09w9jZOnbAxPt7OwEAC6bkw2RMz79aZU+UWomS2/nydNzOp4Sove0DCASlw/aKcxmiiIiIMp26J4rtfFknPd9pZym7xYRT50htfE+uOzjqPlEU8dyGRgDAZ4+uSPratDJ2xHkaTOeTq04efxCA9A11vMEfRERElDlYicpe+r28T2F9+YTpeHVbG17c2ITT55WjoWMQAqTwsbPVBZvZgIuXTk31MmOm7IlyedLonKjc0UMkeEYUERFRdlAqUd2D3BOVbXR1uXzLli1YtmwZ1q5dO+a+jo4OXHbZZfjpT3+agpXpx4rpRVg0NR8efxDXPLEBd63ejjtXb8f3XtgMADhvYRXy7fqt2kxGqTh5/UF4/AG1rU/Pe6JsZuOo9XGoBBERUXYozQtN6KXsoosQVV9fj1WrVmHlypWor68fdV9raytuvvlmzJo1C3/9619TtEL9EAQBXz9lJgDAZBDwmbnlOGm21OJnEIAvHTctlcuLW96IMDLg9qdFOx8ALB4xDXFxmk5GJCIiouiUOUPDpSi76OLy/ksvvQSLxYLVq1fjtNNOG3VffX09Nm3ahL///e+4+uqrU7NAnTlzfgVeuP44VBbkYEpBDgCgoWMAg54AFkzNT/Hq4mM0CMi1GDHoDcDl9qdFOx8APH71cuxtH4DZKGBGaV6ql0NERERJUOqwAQD63X64fQHYzMYUr4iSRRfvTO+66y4IgoADBw6Mue+ss87C2WefnfxF6dwxtUWjfl2XQW/cHTYzBr0B9A37MOgNAND3dD5AOgMs3CHJRERElLmcNhMsJgO8/iA6XB5UF9lTvSRKEl208x153lGk943H4/Ggv79/1AelDyUwtfa71dv0XokiIiKi7CMIAsrkKb3tbOnLKroIUVq75557kJ+fr35UV1enekkUBSUwNfcOAwAsJgOsJpbHiYiISH9KHdwXlY0yMkTdeuut6OvrUz8aGxtTvSSKgjJcoqVPqkTpeTIfERERZbcyNUS5J3kkZZKMfHdqtVphtXLMdLpyypP4lEoUW/mIiIhIr1iJyk4ZWYmi9DamEqXz8eZERESUvcrkCX3cE5VdGKJId5TKU4tcicpjOx8RERHpFCtR2YkhinRHqTw1q5UohigiIiLSJ07ny066endaW1sLURTHvT/cOVKUeY48E4rtfERERKRXrERlJ1aiSHeOrDyxEkVERER6peyJ6hzwIBgcvxhAmYUhinTnyJHmDFFERESkV8V5FggC4A+K6Bnypno5lCQMUaQ7R7bvMUQRERGRXpmNBhTZLQDSd1+ULxDEVY+vx7ee/RgefyDVy0kLfHdKunNkaMqzck8UERER6Vd1kR1dg17s6xjA3EpnqpcTta2H+/DO7g4AQEAU8cilS2AwCClelb6xEkW6M7fSiRNnlqDCacPRVU6cPKc01UsiIiIiGpcSnLY396d4JbHZNmLd/97cgpc+PpzC1aQHVqJIdywmA576yspUL4OIiIgoIvMqHQCAHS3pGaK2H7HuN3a04fPLpqZoNemBlSgiIiIiojjMq5IqUTtaXCleSWyUStS1J04HALy3txMBThqcEEMUEREREVEc5lRIIaq1343uwfSa0OcPBLFTrkR9cUU1nDYT+t1+bG7qTe3CdI4hioiIiIgoDnlWE6YV2wFo19IniiLe2d2B36/Zh0NdQ5o8Zzj7Owfh8QdhtxhRV5KHE2aWAADe3dOZsK+ZCRiiiIiIiIjiNK9SaemLP0R1D3rxhd9+gKseX4+fvbwTp/7f27jlr5+goWMg7uc+krIfam6lEwaDgE/NkgZ6vb2rPaLPP9w7jD++tx+/emsvnvnwUNpV4mLFwRJERERERHGaW+nEf7a2YsOBbnzlU3UxP8+Q148v/3EDNjX2wmY2YF6lE/WHevHCxia8sLEJ00tyUeawAgCCooh2lwfD3gAqC3IwtTAHJbkWeANBfHyoF25fAMfUFuHMoytw8pxSmI1j6yfKREElBJ4ypxRGg4D6Q71YvbkZ5y6sCrvO5t5h3LV6O/6ztXXU7T/6x1ZcuqIaN58+B3nW0VHDIACmMGtIRwxRRERERERxOnVOGX7+2m68uq0N6xq6MLfCCWeOCYIQ+XlLwaCIbz+3CZsae1FgN+OF64/DzDIHPj7Ug0fe3Iu3drVjf+cg9ncOjvncdpcHnzT2jrn9QNcQXtjYhKOrnHjx68fDZjaOun9Pu1Tdml0hTRisKsjBN06ZgV+8uRe3/30rthzug9sbQOeIClNHvwebGnvhDQQBAMfWFWFaUS62t/Rjy+E+PLXuEJ5ad2jMWi5bWYOfXbgg4j8PPWOIIiIiIiKK04Kp+bhsZQ2e+fAQrnj0Q/iDIs5eUIH/+8Ji5FiMk36+1x/E/722C69tb4PFZMBjVx2DmWVSsFlSU4jHr16OvmEfPj7Ug0FPQP284jwL7BYjmnuH0dQzjN4hHwyCNOzCbjXi3d2d+MtHjdjW3I+3d7XjzPmVo76uEshmlOSqt9346Vl4fUc7trf043fvNIy75mOmFeKnF87HURWhA4Y/2NeFH/1jqxrOMhVDFBERERGRBv7ns0fh9e1taHd5AAAvb2lFp2s9nvvasTAYxq9IvbWrHTc/vwk9Qz4AwD0XLsCyaUVjHpefY8Ypc8rCPsfCqQVhbz91ThlMRgG/X9OAf21uGRWivP4gDnVLQyvqSvPU2y0mA5796rF4ob4Jjd1DyLEYUZpnhVH+PdgtRiybVojpJbljKm3HzSjGf286CS6Pf8xaLBnSygcwRBERERERaSLfbsY/bjwBBzqH4A8G8ZU/fYT1B7qxq82FuZXOcT/vifcOoGfIhzKHFTecMgMXa3zQ7bkLK/H7NQ14c0c7hrx+2C1SBGjsGUIgKMJuMaLcaR3ze1HOjYqWIAhw2sxxr1vPMicOEhERERGlWGV+Do6bUYxPzSrFUfI+o4NdY/cwKYJBER8f6gEAPH71clx9QmzBZSILpuSjpsiOYV8Ab+4MTd1r6JDWFa6iRBNjiCIiIiIiSoBpxdI+o4MTnPO0t2MALrcfOWajGrq0JggCzppfAQB4d3fo/Kf9ndK+pZGtfBQZhigiIiIiogSolQ/gPTBBiNp4UKpCLa4uSOj4b2XP1K42l3rbyEoURYchioiIiIgoAUKVqPHb+ZQQtWxaYULXMqdCqjbtbnMhGBQBhELUjFKGqGgxRBERERERJUBtiVSJmqidrz5JIaq2OBcWowFD3gAO9w4DABrk8eZ1JWznixZDFBERERFRAiiVqOa+Ybh9gTH39w371CCzpKYgoWsxGQ2YUSaFpV2tLvQOedE5II1iV8IeRY4hioiIiIgoAYpzLcizmiCKQFPP2GpUW78bAFBoN6PAbkn4euaUyyGqzYWPDkgVsLqSXDgyfBx5IjBEERERERElgCAImKYMl+gcG6KUSlBxnnXMfYkwp0I6q2pXqwsf7u8CAKysG3uoL02OIYqIiIiIKEHUEBVmuETXgBeAVLFKhpHDJdY1dAMAVk4vTsrXzjSmVC+AiIiIiChTKfuiDnWPrUR1yZWokiRVomaXS+dQ7W0fQFCUJvSxEhUbVqKIiIiIiBKk3CEFJKXqNFLXoFyJyktOJWpKQQ4WTc2HPygiKAI1RXZU5uck5WtnGoYoIiIiIqIEKZRb9boHx4aoTjlYJasSJQgCfnX5UhTJa1o5nVWoWDFEEREREREliBJYeobChShlsERyKlEAMLXQjsevXo6zF1TgupPrkvZ1Mw33RBERERERJUihffxKlLInqjg3OZUoxeLqAvz68mVJ/ZqZhpUoIiIiIqIEGVmJEuVhDgplT1RJEitRpA2GKCIiIiKiBFEqUb6AiAGPf9R96ojzJO2JIu0wRBERERERJUiOxYgcsxEA0DPoU293+wJqqErmnijSBkMUEREREVECKS193SOGSyitfBajAQ4rxxSkG4YoIiIiIqIEKsw1AwB6RgyX6HSFJvMJgpCSdVHsGKKIiIiIiBIo3IS+rsHkjzcn7TBEERERERElULizopJ90C5piyGKiIiIiCiBwlailMl8ST4jirTBEEVERERElEDqYIlRIYrtfOmMIYqIiIiIKIEKw4SodnmwRJmDlah0xBBFRERERJRARfaxe6La+t0AgFKGqLTEEEVERERElEDKiPORlagOuRJV7rSlZE0UH4YoIiIiIqIECk3n86m3KZUotvOlJx6PTERERESUQEo7X++QF4GgCLcvgEFvAABQxkpUWmKIIiIiIiJKoAI5RAVFKUj1u/0AgFyLEXlWvh1PR2znIyIiIiJKIIvJoA6QaO51h1r5WIVKWwxRREREREQJNrUwBwDQ2DPE8eYZgCGKiIiIiCjBqgvtAICmniG0sxKV9nQVorZs2YJly5Zh7dq1o25/8cUXMXfuXNhsNixfvhwbN25M0QqJiIiIiKJXXSRXorqH1UpUOStRaUsXIaq+vh6rVq3CypUrUV9fP+q+Dz74AJdeeimuu+46fPjhh6iursbZZ5+NgYGBFK2WiIiIiCg6U0dUokJ7ohii0pUuQtRLL70Ei8WC1atXj7nv/vvvxznnnIPvfOc7WLRoER5//HH09fXhr3/9awpWSkREREQUPaWdr7FnGO39PGg33ekiRN1111148sknUVdXN+a+t956C2eeeab664KCAixduhTr1q1L5hKJiIiIiGKmDJYYWYkqZTtf2tLFYHpBEMLe3tPTg97eXkyfPn3U7TU1NTh8+PC4z+fxeODxeNRf9/f3a7NQIiIiIqIYVBXkQBAAty+Ihs5BAKxEpTNdVKLGo+x7stvto2632+1wu93jft4999yD/Px89aO6ujqh6yQiIiIimojFZEDFEaGJI87Tl65DlNUqvbC8Xu+o291u95hgNdKtt96Kvr4+9aOxsTGh6yQiIiIimoyyLwoATppdCofNnMLVUDx00c43npKSElit1jEhqLGxEcuWLRv386xWqxrAiIiIiIj0wBcMqv//o3PnpnAlFC9dV6IMBgOOO+44vPbaa+ptfX192LhxI0477bQUroyIiIiIKDoXL50KAPjKidMxs8yR4tVQPHRdiQKAm266CRdddBFOOukkHHvssbjzzjsxe/ZsnH322aleGhERERFRxL64ogbH1hVhRmleqpdCcdJ1JQoAzj//fDz88MO48847cdxxx8Hj8WD16tUwGo2pXhoRERERUcSMBgEzyxzjTqam9CGIoiimehGJ1t/fj/z8fPT19cHpdKZ6OURERERElCJaZAPdV6KIiIiIiIj0hCGKiIiIiIgoCgxRREREREREUWCIIiIiIiIiigJDFBERERERURQYooiIiIiIiKLAEEVERERERBQFhigiIiIiIqIoMEQRERERERFFgSGKiIiIiIgoCgxRREREREREUWCIIiIiIiIiigJDFBERERERURRMqV5AMoiiCADo7+9P8UqIiIiIiCiVlEygZIRYZEWIcrlcAIDq6uoUr4SIiIiIiPTA5XIhPz8/ps8VxHgiWJoIBoNobm6Gw+GAIAgpXUt/fz+qq6vR2NgIp9OZ0rVQ+uPribTC1xJpia8n0hJfT6Ql5fW0fft2zJkzBwZDbLubsqISZTAYMHXq1FQvYxSn08lvBKQZvp5IK3wtkZb4eiIt8fVEWpoyZUrMAQrgYAkiIiIiIqKoMEQRERERERFFgSEqyaxWK+644w5YrdZUL4UyAF9PpBW+lkhLfD2Rlvh6Ii1p9XrKisESREREREREWmElioiIiIiIKAoMUURERERERFFgiCIiIiIiIooCQxQREREREVEUGKKSSBRF/OQnP0FVVRVyc3Nx0UUXobOzM9XLojSyZcsWLFu2DGvXrh11+4svvoi5c+fCZrNh+fLl2LhxY4pWSOngk08+wRlnnAG73Y6Kigpcc8016OrqUu//zW9+g+nTpyMnJwef/vSn0dDQkMLVkt49//zzWLRoEex2O2pqavDTn/4UI2dW8fVEsXjyySchCAKeeuop9Ta+ligaTzzxBARBGPVx4403qvfH+3piiEqi+++/H7/4xS/wu9/9Dq+99hp27NiBq666KtXLojRQX1+PVatWYeXKlaivrx913wcffIBLL70U1113HT788ENUV1fj7LPPxsDAQIpWS3r39a9/HaeccgrWrVuHxx57DO+88w6uvPJKAMBf/vIX3HTTTbjzzjuxdu1a+Hw+XHDBBQgGgyleNenVzp07ceutt2LdunW47bbb8OMf/xi/+93vAPD1RLFxu9344Q9/OOo2vpYoWl1dXVi5ciX27Nmjfvz4xz8GoNHrSaSkCAQCYklJifjggw+qt7388ssiALGhoSF1C6O0cNttt4lXXHGF+MYbb4gAxHfffVe978ILLxQvuOAC9dc9PT2i1WoVH3/88RSslNLBwYMHR/366aefFg0Ggzg4OCguWbJE/Pa3v63et337dhGA+OabbyZ5lZSuzj77bPHCCy8URVHk64li8oMf/ED8/Oc/LwIQn3zySVEU+Vqi6N16663iRRddFPY+LV5PrEQlyZYtW9DZ2YkzzzxTve2UU06BwWDAunXrUrgySgd33XUXnnzySdTV1Y2576233hr1uiooKMDSpUv5uqJx1dTUjPq1zWZDMBhEb28vPv7441Gvp7lz56KyspKvJ4pYMBhEcXExX08Uk82bN+PXv/41fv7zn6u38bVEseju7kZJScmY27V6PTFEJYnSZzl9+nT1tpycHJSWluLw4cOpWhalCUEQwt7e09OD3t7eUa8rQHqTzNcVRUIURTz22GNYuXIl2traAICvJ4rJ4OAgHnvsMaxbtw7f/OY3sX//fgB8PVHk3G43Lr/8ctx2222orq5Wb+driWLR1dWFxx57DA6HAwsXLsR9990Hn8+n2evJpOlqaVwDAwMwGAywWq2jbrfb7XC73SlaFaU7Zd+T3W4fdbvdbufQEpqUz+fDDTfcgLfeegtr1qyZ8PXE71M0EZvNBo/HA4fDgd/85jdYuHAh3n33XQB8PVHkbrrpJhQXF+Pmm28edTu/N1EsfvKTn+C2226Dx+PBG2+8gR/96Edob2/HBRdcACD+1xNDVJJYrVYEg0H4/X6YTKE/drfbPeYvkShSSij3er2jbufriibT1NSEVatWYf/+/Xj77bdxzDHHYP369QD4eqLobdq0CX19ffjoo4/w7W9/G9u2bcPnPvc5AHw9UWQeffRRvPTSS9i0aRMMhtGNUvxZR7GYN2+e+v8rV65EIBDAvffeiy984QsA4n89sZ0vSaZMmQJAeuOi8Hg86OjoCLvPhSgSJSUlsFqtaGxsHHV7Y2MjX1c0rt27d2PlypVwOp345JNPsGLFCgCh71N8PVG0jjrqKKxcuRLf+MY3cP/99+O+++7j64micvfdd6OrqwvTp0+HzWaDzWYDAHz5y1/G5ZdfDoCvJYrP0qVLMTg4iIqKCgDxv54YopJk6dKlyMnJwWuvvabe9s477wAATjrppFQti9KcwWDAcccdN+p11dfXh40bN+K0005L4cpIzy677DKcfPLJ+Pe//43S0lL19ilTpqC2tnbU62n37t1oamri64kiZjKZIIoi8vPz+XqiiL3++uvYunUrNm3apH4AUrh65ZVX+FqiuK1fvx6FhYWorq7W5PXEdr4kycnJwde//nX86Ec/Qk1NDfLy8vCd73wH119/PYqKilK9PEpjN910Ey666CKcdNJJOPbYY3HnnXdi9uzZOPvss1O9NNKhPXv2YOPGjfjf//3fMQcLlpaW4uabb8att96KxYsXY/r06bjppptw7rnnYsGCBSlaMelZf38/brzxRlxxxRWorKzEJ598gu9///v44he/iLy8PL6eKGIzZswIe3tlZSVmzJjB1xJF7Zvf/CbOOeccVFZW4vXXX8d9992Hn/zkJzAYDJq8nhiikuhnP/sZhoeHcckll8BoNOKKK67A/fffn+plUZo7//zz8fDDD+POO+9ET08PPv3pT2P16tUwGo2pXhrpUEtLCwCoPeEjPfLII7jxxhvR0dGBG264AW63GxdccAF++ctfJnuZlCZsNht8Ph+uvPJK9PX1Ydq0afjmN7+J7373uwDA1xNphq8litbg4CAuv/xyuN1uzJ49G7///e/xpS99CYA2rydBFEUxEQsnIiIiIiLKRNwTRUREREREFAWGKCIiIiIioigwRBEREREREUWBIYqIiIiIiCgKDFFERERERERRYIgiIiIiIiKKAkMUERERERFRFBiiiIiIiIiIosAQRUREGeHvf/87TjzxRPXXmzdvxi233AKeKU9ERFozpXoBREREE9myZQtuvfXWUbdde+21uPDCCyf8PKPRiN/+9rcYHBzEr3/9a5jNZgQCgbCPnTZtGg4cODDm9iuvvBI2mw2///3vY14/ERFlHlaiiIhI17q6urBlyxZcf/31uP766+F2u7Fv375JP+/oo4/Go48+ivr6egQCAQwODmJ4eHjMx8aNG8N+fl9fH1544QV85Stf0fq3REREaY6VKCIi0j2Hw4Fzzz0XAPDCCy/gwIEDEAQh7GMFQcCpp56KuXPn4le/+hXOOeccmEwmmEzhf+RZLJawtz/77LOYMWMGVqxYoc1vgoiIMgYrUURElHZqa2vh8/lGfbz44os44YQT4PP5cPvtt+O9994DAHR3d6shauTHtddeO+HXeOyxx9THBINB/OhHP0JNTQ1sNhsWLFiAjo6OhP8+iYhInxiiiIgoLXk8HuzatUsNRQaD9CNt5P8DgCiKqK2thd/vVz+eeuqpcfdHAdJQis2bN+OKK64AAPz617/GI488gt/+9rf48MMP8fWvfz2xvzkiItI1tvMREZHubdu2TW3HCwaDuO+++/DSSy/hnnvuwdatW0eFJi089thjuOCCC1BSUgIA2L17NyorK/HZz34WRqMRixYt0vTrERFRemElioiIdO/oo49Wq0hXXnklAGDVqlXo7e3FX//610k/v6GhATabTf1QniMcj8eDp556alS737XXXov29nYsWLAAf/jDH+B2u+P/TRERUdpiiCIiorRksVhw3XXX4b777pv0sXV1dXC73erHn//853Ef+/e//x25ubk4/fTT1dsWLVqEPXv24IorrsAdd9yBhQsXoq2tTZPfBxERpR+GKCIiSltf/epXceedd2r6nI899hiuueaaMS2ChYWF+MEPfoDt27ejtbUVf/nLXzT9ukRElD64J4qIiNKC3+8HIA2KUFRVVaGqqmrSz923b9+YEedXXXXVmMcdPHgQb7755pjDdR988EFUVlZi/vz52L59O4aHhzFr1qxYfhtERJQBGKKIiEj3tm3bBrPZrP76/vvvj/hz8/Ly8N3vfhcPPPDApI994okncOqpp6K2tnbU7Xa7Hd/73vfQ0dGBadOm4aGHHsKZZ54Z8RqIiCizMEQREZGuGQwGLF26FBs3bgQA/OQnP0FFRQUAoKurC0NDQ7Db7Xj//fdRUFAw5vNLSkrGBKjh4WG4XC7k5ubigw8+QF5eHoLBIJ544gnce++9Y57juuuuw3XXXaf9b46IiNISQxQREenaSSedpAYoALjjjjvU/3/ttddw+eWXIxgMoqioCM8880xEz7l161asWLECgLTX6cEHH8Trr7+OgYEBXHjhhdr+BoiIKOMI4sjmciIiojQUDAZjOisq1s8jIqLsxhBFREREREQUBV5+IyIiIiIiigJDFBERERERURQYooiIiIiIiKLAEEVERERERBQFhigiIiIiIqIoMEQRERERERFFgSGKiIiIiIgoCgxRREREREREUWCIIiIiIiIiigJDFBERERERURT+P68G+vWKRv45AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制出车辆id=300的位置、速度、加速度随时间变化图\n",
    "Global_Time_min = data[data['Vehicle_ID'] == 300]['Global_Time'].min()\n",
    "Vehicle_id_data = data[data['Vehicle_ID']==300]\n",
    "time = Vehicle_id_data['Global_Time']\n",
    "time = (time - Global_Time_min)/1000\n",
    "Local_Y = Vehicle_id_data['Local_Y'] * 0.3048\n",
    "Vel = Vehicle_id_data['v_Vel'] * 0.3048\n",
    "Acc = Vehicle_id_data['v_Acc'] * 0.3048\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(time,Local_Y)\n",
    "plt.xlabel('时间/s')\n",
    "plt.ylabel('纵向位置/m')\n",
    "plt.show()\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(time,Vel)\n",
    "plt.xlabel('时间/s')\n",
    "plt.ylabel('速度/(m/s)')\n",
    "plt.show()\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(time,Acc)\n",
    "plt.xlabel('时间/s')\n",
    "plt.ylabel('加速度/(m/s²)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa678d5c-4ba3-48b0-b4c2-882e35f48187",
   "metadata": {},
   "source": [
    "# 对称指数移动平均法对数据进行平滑处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c663140e-f3c7-4e7f-b7e8-f970fdca2883",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\ncount = 0\\ndata_index = 1\\ntemp = data[data['Vehicle_ID'] == data['Vehicle_ID'].iloc[1]]\\n\\nwhile data_index < len(data):\\n    delta = 5\\n    Na = len(temp)\\n    i = 1\\n    while i <= len(temp):\\n        if(3*delta<(i-1))&(3*delta<(Na-i)):\\n            D=3*delta\\n        elif(i-1)<(Na-i):\\n            D=i-1\\n        else:\\n            D=Na-i\\n        k=i-D\\n        Z = 0\\n        Xa = 0\\n        while k <= i + D:\\n            Z = Z + math.exp(-math.fabs(i - k)/delta)\\n            o = math.exp(-math.fabs(i - k)/delta)\\n            Xa = Xa + data['Local_Y'].iloc[data_index + k - 1] * o\\n            k = k + 1\\n        Xa = Xa / Z\\n        dic = [{'p_Local_Y':Xa}]\\n        data_tmp = pd.DataFrame(dic)\\n        if count == 0:\\n            data_final = data_tmp\\n            count = 1\\n        else:\\n            data_final=data_final._append(data_tmp)\\n        i = i + 1\\n    data_index = data_index + i - 1\\n    if data_index < len(data):\\n        if(data['Vehicle_ID'].iloc[data_index] != data['Vehicle_ID'].iloc[data_index - 1]):\\n            temp = data[data['Vehicle_ID'] == data['Vehicle_ID'].iloc[data_index]]\\n    print('index: ' + str(data_index))\\n    \""
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "count = 0\n",
    "data_index = 1\n",
    "temp = data[data['Vehicle_ID'] == data['Vehicle_ID'].iloc[1]]\n",
    "\n",
    "while data_index < len(data):\n",
    "    delta = 5\n",
    "    Na = len(temp)\n",
    "    i = 1\n",
    "    while i <= len(temp):\n",
    "        if(3*delta<(i-1))&(3*delta<(Na-i)):\n",
    "            D=3*delta\n",
    "        elif(i-1)<(Na-i):\n",
    "            D=i-1\n",
    "        else:\n",
    "            D=Na-i\n",
    "        k=i-D\n",
    "        Z = 0\n",
    "        Xa = 0\n",
    "        while k <= i + D:\n",
    "            Z = Z + math.exp(-math.fabs(i - k)/delta)\n",
    "            o = math.exp(-math.fabs(i - k)/delta)\n",
    "            Xa = Xa + data['Local_Y'].iloc[data_index + k - 1] * o\n",
    "            k = k + 1\n",
    "        Xa = Xa / Z\n",
    "        dic = [{'p_Local_Y':Xa}]\n",
    "        data_tmp = pd.DataFrame(dic)\n",
    "        if count == 0:\n",
    "            data_final = data_tmp\n",
    "            count = 1\n",
    "        else:\n",
    "            data_final=data_final._append(data_tmp)\n",
    "        i = i + 1\n",
    "    data_index = data_index + i - 1\n",
    "    if data_index < len(data):\n",
    "        if(data['Vehicle_ID'].iloc[data_index] != data['Vehicle_ID'].iloc[data_index - 1]):\n",
    "            temp = data[data['Vehicle_ID'] == data['Vehicle_ID'].iloc[data_index]]\n",
    "    print('index: ' + str(data_index))\n",
    "    \"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "08481922-b915-443b-987b-d78255077750",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Vehicle_ID</th>\n",
       "      <th>Frame_ID</th>\n",
       "      <th>Total_Frames</th>\n",
       "      <th>Global_Time</th>\n",
       "      <th>Local_X</th>\n",
       "      <th>Local_Y</th>\n",
       "      <th>Global_X</th>\n",
       "      <th>Global_Y</th>\n",
       "      <th>v_Length</th>\n",
       "      <th>...</th>\n",
       "      <th>Preceeding</th>\n",
       "      <th>Following</th>\n",
       "      <th>Space_Hdwy</th>\n",
       "      <th>Time_Hdwy</th>\n",
       "      <th>p_Local_X</th>\n",
       "      <th>p_Local_Y</th>\n",
       "      <th>p_v_Vel</th>\n",
       "      <th>p_v_Acc</th>\n",
       "      <th>p_Space_Hdwy</th>\n",
       "      <th>p_Time_Hdwy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869000</td>\n",
       "      <td>51.164</td>\n",
       "      <td>112.878</td>\n",
       "      <td>6451136.708</td>\n",
       "      <td>1873294.084</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.164000</td>\n",
       "      <td>112.878000</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>271</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869100</td>\n",
       "      <td>51.153</td>\n",
       "      <td>114.878</td>\n",
       "      <td>6451138.053</td>\n",
       "      <td>1873292.603</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.153322</td>\n",
       "      <td>114.878000</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869200</td>\n",
       "      <td>51.143</td>\n",
       "      <td>116.878</td>\n",
       "      <td>6451139.397</td>\n",
       "      <td>1873291.122</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.186204</td>\n",
       "      <td>116.853399</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.196990</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869300</td>\n",
       "      <td>51.244</td>\n",
       "      <td>118.815</td>\n",
       "      <td>6451140.617</td>\n",
       "      <td>1873289.614</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.198690</td>\n",
       "      <td>118.840344</td>\n",
       "      <td>19.914792</td>\n",
       "      <td>0.246158</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>274</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869400</td>\n",
       "      <td>51.234</td>\n",
       "      <td>120.814</td>\n",
       "      <td>6451141.961</td>\n",
       "      <td>1873288.133</td>\n",
       "      <td>47.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.200391</td>\n",
       "      <td>120.838802</td>\n",
       "      <td>19.843820</td>\n",
       "      <td>-0.927490</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>1048570</td>\n",
       "      <td>1914</td>\n",
       "      <td>7369</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848578900</td>\n",
       "      <td>6.751</td>\n",
       "      <td>949.584</td>\n",
       "      <td>6451781.160</td>\n",
       "      <td>1872752.182</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>35.13</td>\n",
       "      <td>2.36</td>\n",
       "      <td>6.757744</td>\n",
       "      <td>949.589384</td>\n",
       "      <td>14.950289</td>\n",
       "      <td>0.012011</td>\n",
       "      <td>35.249194</td>\n",
       "      <td>2.356406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>1048571</td>\n",
       "      <td>1914</td>\n",
       "      <td>7370</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579000</td>\n",
       "      <td>6.763</td>\n",
       "      <td>951.072</td>\n",
       "      <td>6451782.284</td>\n",
       "      <td>1872751.189</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.97</td>\n",
       "      <td>2.34</td>\n",
       "      <td>6.765620</td>\n",
       "      <td>951.082391</td>\n",
       "      <td>14.944416</td>\n",
       "      <td>0.081872</td>\n",
       "      <td>34.994543</td>\n",
       "      <td>2.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>1048572</td>\n",
       "      <td>1914</td>\n",
       "      <td>7371</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579100</td>\n",
       "      <td>6.777</td>\n",
       "      <td>952.570</td>\n",
       "      <td>6451783.407</td>\n",
       "      <td>1872750.195</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.82</td>\n",
       "      <td>2.32</td>\n",
       "      <td>6.776225</td>\n",
       "      <td>952.573760</td>\n",
       "      <td>14.961009</td>\n",
       "      <td>0.263743</td>\n",
       "      <td>34.814283</td>\n",
       "      <td>2.325717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>1048573</td>\n",
       "      <td>1914</td>\n",
       "      <td>7372</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579200</td>\n",
       "      <td>6.789</td>\n",
       "      <td>954.072</td>\n",
       "      <td>6451784.531</td>\n",
       "      <td>1872749.202</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.66</td>\n",
       "      <td>2.31</td>\n",
       "      <td>6.789000</td>\n",
       "      <td>954.071356</td>\n",
       "      <td>14.993559</td>\n",
       "      <td>0.109495</td>\n",
       "      <td>34.656780</td>\n",
       "      <td>2.310000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>1048574</td>\n",
       "      <td>1914</td>\n",
       "      <td>7373</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579300</td>\n",
       "      <td>6.801</td>\n",
       "      <td>955.572</td>\n",
       "      <td>6451785.655</td>\n",
       "      <td>1872748.209</td>\n",
       "      <td>16.5</td>\n",
       "      <td>...</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.49</td>\n",
       "      <td>2.30</td>\n",
       "      <td>6.801000</td>\n",
       "      <td>955.572000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>34.490000</td>\n",
       "      <td>2.300000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0  Vehicle_ID  Frame_ID  Total_Frames    Global_Time  \\\n",
       "0                 0           1       270           569  1118847869000   \n",
       "1                 1           1       271           569  1118847869100   \n",
       "2                 2           1       272           569  1118847869200   \n",
       "3                 3           1       273           569  1118847869300   \n",
       "4                 4           1       274           569  1118847869400   \n",
       "...             ...         ...       ...           ...            ...   \n",
       "1048570     1048570        1914      7369           923  1118848578900   \n",
       "1048571     1048571        1914      7370           923  1118848579000   \n",
       "1048572     1048572        1914      7371           923  1118848579100   \n",
       "1048573     1048573        1914      7372           923  1118848579200   \n",
       "1048574     1048574        1914      7373           923  1118848579300   \n",
       "\n",
       "         Local_X  Local_Y     Global_X     Global_Y  v_Length  ...  \\\n",
       "0         51.164  112.878  6451136.708  1873294.084      47.0  ...   \n",
       "1         51.153  114.878  6451138.053  1873292.603      47.0  ...   \n",
       "2         51.143  116.878  6451139.397  1873291.122      47.0  ...   \n",
       "3         51.244  118.815  6451140.617  1873289.614      47.0  ...   \n",
       "4         51.234  120.814  6451141.961  1873288.133      47.0  ...   \n",
       "...          ...      ...          ...          ...       ...  ...   \n",
       "1048570    6.751  949.584  6451781.160  1872752.182      16.5  ...   \n",
       "1048571    6.763  951.072  6451782.284  1872751.189      16.5  ...   \n",
       "1048572    6.777  952.570  6451783.407  1872750.195      16.5  ...   \n",
       "1048573    6.789  954.072  6451784.531  1872749.202      16.5  ...   \n",
       "1048574    6.801  955.572  6451785.655  1872748.209      16.5  ...   \n",
       "\n",
       "         Preceeding  Following  Space_Hdwy  Time_Hdwy  p_Local_X   p_Local_Y  \\\n",
       "0                 0          0        0.00       0.00  51.164000  112.878000   \n",
       "1                 0          0        0.00       0.00  51.153322  114.878000   \n",
       "2                 0          0        0.00       0.00  51.186204  116.853399   \n",
       "3                 0          0        0.00       0.00  51.198690  118.840344   \n",
       "4                 0          0        0.00       0.00  51.200391  120.838802   \n",
       "...             ...        ...         ...        ...        ...         ...   \n",
       "1048570        1909       1917       35.13       2.36   6.757744  949.589384   \n",
       "1048571        1909       1917       34.97       2.34   6.765620  951.082391   \n",
       "1048572        1909       1917       34.82       2.32   6.776225  952.573760   \n",
       "1048573        1909       1917       34.66       2.31   6.789000  954.071356   \n",
       "1048574        1909       1917       34.49       2.30   6.801000  955.572000   \n",
       "\n",
       "           p_v_Vel   p_v_Acc  p_Space_Hdwy  p_Time_Hdwy  \n",
       "0        19.890000  0.000000      0.000000     0.000000  \n",
       "1        19.890000  0.000000      0.000000     0.000000  \n",
       "2        19.890000  0.196990      0.000000     0.000000  \n",
       "3        19.914792  0.246158      0.000000     0.000000  \n",
       "4        19.843820 -0.927490      0.000000     0.000000  \n",
       "...            ...       ...           ...          ...  \n",
       "1048570  14.950289  0.012011     35.249194     2.356406  \n",
       "1048571  14.944416  0.081872     34.994543     2.340000  \n",
       "1048572  14.961009  0.263743     34.814283     2.325717  \n",
       "1048573  14.993559  0.109495     34.656780     2.310000  \n",
       "1048574  15.000000  0.000000     34.490000     2.300000  \n",
       "\n",
       "[1048575 rows x 25 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_processed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dbd26856-7b7c-4fbf-8b8d-a41ab292ab90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "Global_Time_min = data_processed[data_processed['Vehicle_ID'] == 300]['Global_Time'].min()\n",
    "Vehicle_id_data = data_processed[data_processed['Vehicle_ID'] == 300]\n",
    "time = (Vehicle_id_data['Global_Time'] - Global_Time_min) / 1000\n",
    "Local_Y = Vehicle_id_data['Local_Y'] * 0.3048\n",
    "Vel = Vehicle_id_data['v_Vel'] * 0.3048\n",
    "Acc = Vehicle_id_data['v_Acc'] * 0.3048\n",
    "p_Local_Y = Vehicle_id_data['p_Local_Y'] * 0.3048\n",
    "p_Vel = Vehicle_id_data['p_v_Vel'] * 0.3048\n",
    "p_Acc = Vehicle_id_data['p_v_Acc'] * 0.3048\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(time, Local_Y, label='原始位置')\n",
    "plt.plot(time, p_Local_Y, label='平滑后位置')\n",
    "plt.xlabel('时间/s')\n",
    "plt.ylabel('位置/m')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(time, Vel, label='原始速度')\n",
    "plt.plot(time, p_Vel, label='平滑后速度')\n",
    "plt.xlabel('时间/s')\n",
    "plt.ylabel('速度/(m/s)')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(time, Acc, label='原始加速度')\n",
    "plt.plot(time, p_Acc, label='平滑后加速度')\n",
    "plt.xlabel('时间/s')\n",
    "plt.ylabel('加速度/(m/s²)')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "58e3b435-0e34-45a2-9218-4dfc08f18fcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vehicle_ID</th>\n",
       "      <th>Frame_ID</th>\n",
       "      <th>Total_Frames</th>\n",
       "      <th>Global_Time</th>\n",
       "      <th>Local_X</th>\n",
       "      <th>Local_Y</th>\n",
       "      <th>Global_X</th>\n",
       "      <th>Global_Y</th>\n",
       "      <th>v_Length</th>\n",
       "      <th>v_Width</th>\n",
       "      <th>v_Class</th>\n",
       "      <th>v_Vel</th>\n",
       "      <th>v_Acc</th>\n",
       "      <th>Lane_ID</th>\n",
       "      <th>Preceeding</th>\n",
       "      <th>Following</th>\n",
       "      <th>Space_Hdwy</th>\n",
       "      <th>Time_Hdwy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869000</td>\n",
       "      <td>51.164</td>\n",
       "      <td>112.878</td>\n",
       "      <td>6451136.708</td>\n",
       "      <td>1873294.084</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>271</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869100</td>\n",
       "      <td>51.153</td>\n",
       "      <td>114.878</td>\n",
       "      <td>6451138.053</td>\n",
       "      <td>1873292.603</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869200</td>\n",
       "      <td>51.143</td>\n",
       "      <td>116.878</td>\n",
       "      <td>6451139.397</td>\n",
       "      <td>1873291.122</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869300</td>\n",
       "      <td>51.244</td>\n",
       "      <td>118.815</td>\n",
       "      <td>6451140.617</td>\n",
       "      <td>1873289.614</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>274</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869400</td>\n",
       "      <td>51.234</td>\n",
       "      <td>120.814</td>\n",
       "      <td>6451141.961</td>\n",
       "      <td>1873288.133</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.89</td>\n",
       "      <td>1.07</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>1914</td>\n",
       "      <td>7369</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848578900</td>\n",
       "      <td>6.751</td>\n",
       "      <td>949.584</td>\n",
       "      <td>6451781.160</td>\n",
       "      <td>1872752.182</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.89</td>\n",
       "      <td>0.31</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>35.13</td>\n",
       "      <td>2.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>1914</td>\n",
       "      <td>7370</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579000</td>\n",
       "      <td>6.763</td>\n",
       "      <td>951.072</td>\n",
       "      <td>6451782.284</td>\n",
       "      <td>1872751.189</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.93</td>\n",
       "      <td>0.64</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.97</td>\n",
       "      <td>2.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>1914</td>\n",
       "      <td>7371</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579100</td>\n",
       "      <td>6.777</td>\n",
       "      <td>952.570</td>\n",
       "      <td>6451783.407</td>\n",
       "      <td>1872750.195</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.98</td>\n",
       "      <td>0.34</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.82</td>\n",
       "      <td>2.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>1914</td>\n",
       "      <td>7372</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579200</td>\n",
       "      <td>6.789</td>\n",
       "      <td>954.072</td>\n",
       "      <td>6451784.531</td>\n",
       "      <td>1872749.202</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>15.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.66</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>1914</td>\n",
       "      <td>7373</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579300</td>\n",
       "      <td>6.801</td>\n",
       "      <td>955.572</td>\n",
       "      <td>6451785.655</td>\n",
       "      <td>1872748.209</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>15.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.49</td>\n",
       "      <td>2.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Vehicle_ID  Frame_ID  Total_Frames    Global_Time  Local_X  Local_Y  \\\n",
       "0                 1       270           569  1118847869000   51.164  112.878   \n",
       "1                 1       271           569  1118847869100   51.153  114.878   \n",
       "2                 1       272           569  1118847869200   51.143  116.878   \n",
       "3                 1       273           569  1118847869300   51.244  118.815   \n",
       "4                 1       274           569  1118847869400   51.234  120.814   \n",
       "...             ...       ...           ...            ...      ...      ...   \n",
       "1048570        1914      7369           923  1118848578900    6.751  949.584   \n",
       "1048571        1914      7370           923  1118848579000    6.763  951.072   \n",
       "1048572        1914      7371           923  1118848579100    6.777  952.570   \n",
       "1048573        1914      7372           923  1118848579200    6.789  954.072   \n",
       "1048574        1914      7373           923  1118848579300    6.801  955.572   \n",
       "\n",
       "            Global_X     Global_Y  v_Length  v_Width  v_Class  v_Vel  v_Acc  \\\n",
       "0        6451136.708  1873294.084      47.0      8.5        3  19.89   0.00   \n",
       "1        6451138.053  1873292.603      47.0      8.5        3  19.89   0.00   \n",
       "2        6451139.397  1873291.122      47.0      8.5        3  19.89   0.00   \n",
       "3        6451140.617  1873289.614      47.0      8.5        3  19.89   0.00   \n",
       "4        6451141.961  1873288.133      47.0      8.5        3  19.89   1.07   \n",
       "...              ...          ...       ...      ...      ...    ...    ...   \n",
       "1048570  6451781.160  1872752.182      16.5      6.4        2  14.89   0.31   \n",
       "1048571  6451782.284  1872751.189      16.5      6.4        2  14.93   0.64   \n",
       "1048572  6451783.407  1872750.195      16.5      6.4        2  14.98   0.34   \n",
       "1048573  6451784.531  1872749.202      16.5      6.4        2  15.00   0.00   \n",
       "1048574  6451785.655  1872748.209      16.5      6.4        2  15.00   0.00   \n",
       "\n",
       "         Lane_ID  Preceeding  Following  Space_Hdwy  Time_Hdwy  \n",
       "0              5           0          0        0.00       0.00  \n",
       "1              5           0          0        0.00       0.00  \n",
       "2              5           0          0        0.00       0.00  \n",
       "3              5           0          0        0.00       0.00  \n",
       "4              5           0          0        0.00       0.00  \n",
       "...          ...         ...        ...         ...        ...  \n",
       "1048570        1        1909       1917       35.13       2.36  \n",
       "1048571        1        1909       1917       34.97       2.34  \n",
       "1048572        1        1909       1917       34.82       2.32  \n",
       "1048573        1        1909       1917       34.66       2.31  \n",
       "1048574        1        1909       1917       34.49       2.30  \n",
       "\n",
       "[1048575 rows x 18 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1=pd.DataFrame(data)\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7e5f6e77-8be5-4917-bf81-e5199988a341",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vehicle_ID</th>\n",
       "      <th>Frame_ID</th>\n",
       "      <th>Total_Frames</th>\n",
       "      <th>Global_Time</th>\n",
       "      <th>Local_X</th>\n",
       "      <th>Local_Y</th>\n",
       "      <th>Global_X</th>\n",
       "      <th>Global_Y</th>\n",
       "      <th>v_Length</th>\n",
       "      <th>v_Width</th>\n",
       "      <th>v_Class</th>\n",
       "      <th>v_Vel</th>\n",
       "      <th>v_Acc</th>\n",
       "      <th>Lane_ID</th>\n",
       "      <th>Preceeding</th>\n",
       "      <th>Following</th>\n",
       "      <th>Space_Hdwy</th>\n",
       "      <th>Time_Hdwy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>270</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869000</td>\n",
       "      <td>51.164</td>\n",
       "      <td>112.878000</td>\n",
       "      <td>6451136.708</td>\n",
       "      <td>1873294.084</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>271</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869100</td>\n",
       "      <td>51.153</td>\n",
       "      <td>114.878000</td>\n",
       "      <td>6451138.053</td>\n",
       "      <td>1873292.603</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869200</td>\n",
       "      <td>51.143</td>\n",
       "      <td>116.853399</td>\n",
       "      <td>6451139.397</td>\n",
       "      <td>1873291.122</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.890000</td>\n",
       "      <td>0.196990</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869300</td>\n",
       "      <td>51.244</td>\n",
       "      <td>118.840344</td>\n",
       "      <td>6451140.617</td>\n",
       "      <td>1873289.614</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.914792</td>\n",
       "      <td>0.246158</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>274</td>\n",
       "      <td>569</td>\n",
       "      <td>1118847869400</td>\n",
       "      <td>51.234</td>\n",
       "      <td>120.838802</td>\n",
       "      <td>6451141.961</td>\n",
       "      <td>1873288.133</td>\n",
       "      <td>47.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3</td>\n",
       "      <td>19.843820</td>\n",
       "      <td>-0.927490</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048570</th>\n",
       "      <td>1914</td>\n",
       "      <td>7369</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848578900</td>\n",
       "      <td>6.751</td>\n",
       "      <td>949.589384</td>\n",
       "      <td>6451781.160</td>\n",
       "      <td>1872752.182</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.950289</td>\n",
       "      <td>0.012011</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>35.13</td>\n",
       "      <td>2.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048571</th>\n",
       "      <td>1914</td>\n",
       "      <td>7370</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579000</td>\n",
       "      <td>6.763</td>\n",
       "      <td>951.082391</td>\n",
       "      <td>6451782.284</td>\n",
       "      <td>1872751.189</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.944416</td>\n",
       "      <td>0.081872</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.97</td>\n",
       "      <td>2.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048572</th>\n",
       "      <td>1914</td>\n",
       "      <td>7371</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579100</td>\n",
       "      <td>6.777</td>\n",
       "      <td>952.573760</td>\n",
       "      <td>6451783.407</td>\n",
       "      <td>1872750.195</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.961009</td>\n",
       "      <td>0.263743</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.82</td>\n",
       "      <td>2.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048573</th>\n",
       "      <td>1914</td>\n",
       "      <td>7372</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579200</td>\n",
       "      <td>6.789</td>\n",
       "      <td>954.071356</td>\n",
       "      <td>6451784.531</td>\n",
       "      <td>1872749.202</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>14.993559</td>\n",
       "      <td>0.109495</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.66</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048574</th>\n",
       "      <td>1914</td>\n",
       "      <td>7373</td>\n",
       "      <td>923</td>\n",
       "      <td>1118848579300</td>\n",
       "      <td>6.801</td>\n",
       "      <td>955.572000</td>\n",
       "      <td>6451785.655</td>\n",
       "      <td>1872748.209</td>\n",
       "      <td>16.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1909</td>\n",
       "      <td>1917</td>\n",
       "      <td>34.49</td>\n",
       "      <td>2.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1048575 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Vehicle_ID  Frame_ID  Total_Frames    Global_Time  Local_X  \\\n",
       "0                 1       270           569  1118847869000   51.164   \n",
       "1                 1       271           569  1118847869100   51.153   \n",
       "2                 1       272           569  1118847869200   51.143   \n",
       "3                 1       273           569  1118847869300   51.244   \n",
       "4                 1       274           569  1118847869400   51.234   \n",
       "...             ...       ...           ...            ...      ...   \n",
       "1048570        1914      7369           923  1118848578900    6.751   \n",
       "1048571        1914      7370           923  1118848579000    6.763   \n",
       "1048572        1914      7371           923  1118848579100    6.777   \n",
       "1048573        1914      7372           923  1118848579200    6.789   \n",
       "1048574        1914      7373           923  1118848579300    6.801   \n",
       "\n",
       "            Local_Y     Global_X     Global_Y  v_Length  v_Width  v_Class  \\\n",
       "0        112.878000  6451136.708  1873294.084      47.0      8.5        3   \n",
       "1        114.878000  6451138.053  1873292.603      47.0      8.5        3   \n",
       "2        116.853399  6451139.397  1873291.122      47.0      8.5        3   \n",
       "3        118.840344  6451140.617  1873289.614      47.0      8.5        3   \n",
       "4        120.838802  6451141.961  1873288.133      47.0      8.5        3   \n",
       "...             ...          ...          ...       ...      ...      ...   \n",
       "1048570  949.589384  6451781.160  1872752.182      16.5      6.4        2   \n",
       "1048571  951.082391  6451782.284  1872751.189      16.5      6.4        2   \n",
       "1048572  952.573760  6451783.407  1872750.195      16.5      6.4        2   \n",
       "1048573  954.071356  6451784.531  1872749.202      16.5      6.4        2   \n",
       "1048574  955.572000  6451785.655  1872748.209      16.5      6.4        2   \n",
       "\n",
       "             v_Vel     v_Acc  Lane_ID  Preceeding  Following  Space_Hdwy  \\\n",
       "0        19.890000  0.000000        5           0          0        0.00   \n",
       "1        19.890000  0.000000        5           0          0        0.00   \n",
       "2        19.890000  0.196990        5           0          0        0.00   \n",
       "3        19.914792  0.246158        5           0          0        0.00   \n",
       "4        19.843820 -0.927490        5           0          0        0.00   \n",
       "...            ...       ...      ...         ...        ...         ...   \n",
       "1048570  14.950289  0.012011        1        1909       1917       35.13   \n",
       "1048571  14.944416  0.081872        1        1909       1917       34.97   \n",
       "1048572  14.961009  0.263743        1        1909       1917       34.82   \n",
       "1048573  14.993559  0.109495        1        1909       1917       34.66   \n",
       "1048574  15.000000  0.000000        1        1909       1917       34.49   \n",
       "\n",
       "         Time_Hdwy  \n",
       "0             0.00  \n",
       "1             0.00  \n",
       "2             0.00  \n",
       "3             0.00  \n",
       "4             0.00  \n",
       "...            ...  \n",
       "1048570       2.36  \n",
       "1048571       2.34  \n",
       "1048572       2.32  \n",
       "1048573       2.31  \n",
       "1048574       2.30  \n",
       "\n",
       "[1048575 rows x 18 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1['Local_Y'] = data_processed['p_Local_Y']\n",
    "data1['v_Vel'] = data_processed['p_v_Vel']\n",
    "data1['v_Acc'] = data_processed['p_v_Acc']\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d4fcd394-2f66-444a-9018-52a34be8cb79",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.to_csv(\"./data/NGSIM_101_P.csv\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af3c7b66-eca6-46c8-b737-cabea9f2f9ed",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "local_x = data1[[\"Vehicle_ID\",\"Local_X\",\"Local_Y\"]]\n",
    "local_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "827e8ceb-8d94-41aa-8821-61be621c16be",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=[]\n",
    "y=[]\n",
    "x_v=[]\n",
    "y_v=[]\n",
    "for i in range(len(local_x)):\n",
    "    if i == 0:\n",
    "        x.append('none')\n",
    "        x_v.append('none')\n",
    "        y.append('none')\n",
    "        y_v.append('none')\n",
    "    else:\n",
    "        if local_x.Vehicle_ID[i] == local_x.Vehicle_ID[i-1]:\n",
    "            x.append(local_x.Local_X[i] - local_x.Local_X[i-1])\n",
    "            x_v.append((local_x.Local_X[i] - local_x.Local_X[i-1])/0.1)\n",
    "            y.append(local_x.Local_Y[i] - local_x.Local_Y[i-1])\n",
    "            y_v.append((local_x.Local_Y[i] - local_x.Local_Y[i-1])/0.1)\n",
    "        else:\n",
    "            x.append('none')\n",
    "            x_v.append('none')\n",
    "            y.append('none')\n",
    "            y_v.append('none')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "30e9b773-3fb1-4940-8eee-176504f50e43",
   "metadata": {},
   "outputs": [],
   "source": [
    "dic={'x':x,'x_v':x_v,'y':y,'y_v':y_v}\n",
    "df = pd.DataFrame(dic)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51645475-6576-47da-bc1e-4aabbcfe1af1",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_f = pd.concat([data1,df],axis=1)\n",
    "new_f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6399c196-2a4e-4ef2-803e-f99dddd24627",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_f = new_f[new_f['x_v']!='none']\n",
    "new_f = new_f.rename(columns={'x_v':'x_a'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67f48cb8-5b1f-4a59-8eca-ce5e3df65c2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67016501-c447-45b7-aaca-87dda8face61",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_f.to_csv(\"./data/tempfile.csv\",index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7938d4a7-7ba3-4b6f-a670-b163f4a0576b",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_f.iloc[108573]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dbb9c5ef-0c4b-4257-be49-82a7f9477d8b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "train_data = new_f[['Vehicle_ID','Local_X','Local_Y','v_Class','v_Vel','v_Acc','x_a','Lane_ID']]\n",
    "train_data"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
